The Data Stack Show

Highlights from this week’s conversation include:

• Disney Data and Analytics Conference (1:15)
• Flatiron School Overview (3:51)
• Defining Industry-Ready (4:48)
• Transitioning to Data Science (6:33)
• Teaching KPIs (8:10)
• Self-Advocacy in Career Development (11:22)
• Managerial Credibility (16:11)
• Bridging Academic and Industry Gaps (19:30)
• Managing Projects with Non-Technical Stakeholders (21:35)
• Transitioning from Industry to Teaching (23:38)
• Relating Data Science to Personal Interests (25:32)
• Creating Engaging Learning Experiences (28:42)
• Involvement in Data Literacy Organizations (31:09)
• Addressing AI Concerns in Education (34:16)
• Collaboration for AI Safety (38:22)
• Remote Work Trends (41:09)
• Productivity in Remote vs. Office Settings (44:11)
• Final Thoughts and Takeaways (46:13)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Reporting and Analytics Discussion (1:09)
• Automation in Reporting (3:16)
• AI's Impact on Analytics (5:00)
• Data Quality Challenges (6:56)
• Reinventing Reporting (9:23)
• Automated Reporting Services (14:35)
• Growth Trajectory of Reporting Tools (16:01)
• Market Size Comparison (18:04)
• Static vs. Time Series Data (21:27)
• Differentiating Reporting and Analytics (26:26)
• Ad Hoc Analysis vs. Reporting (29:52)
• The Role of Data Scientists (34:03)
• Planning the Reset (38:36)
• Focus on Business Problems (41:30)
• Identifying Business Needs (44:01)
• Heuristics and Intuition (48:03)
• Importance of Monitoring (52:20)
• Observability in Analytics (55:53)
• Observability in Metrics (58:08)
• Consistency in Definitions (1:02:39)
• Impact of Changing Definitions and Final Takeaways (1:04:15)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Previewing the Next Cynical Data Guy Episode (0:13)
• Story Time: Coolest Data Project You’ve Worked On (1:13)
• Failed Web Scraping Project (3:40)
• Building a Neural Net for Matching (5:22)
• Rebuilding the Project Strategy (7:04)
• Project Completion and Politics (9:35)
• Agreeable Data Guy's Pricing Story (11:00)
• Balancing Advanced and Simple Solutions (14:15)
• Insights from Pricing Team Meetings (16:19)
• Building for Scale vs. Immediate Needs (18:29)
• Open Source Data Formats (19:46)
• Disaster Recovery Experiences (22:34)
• Reflections on Chief Data Officers (25:01)
• Cynicism in Data Projects (28:19)
• Final Thoughts and Takeaways (30:20)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Soheil’s Background and Journey in AI (0:40)
• Anthropic's Philosophy on Safety (1:21)
• Key Moments in AI Discovery (2:52)
• Computer Vision Applications (4:42)
• Magic vs. Reality in AI (7:35)
• Product Development at Anthropic (12:57)
• Tension Between Research and Product (14:36)
• Safety as a Capability (17:33)
• Community Notes and Democracy in AI (20:41)
• Expert Panels for Safety (21:38)
• Post-Training Data Quality (23:32)
• User Data and Privacy (25:32)
• Test Time Compute Paradigm (30:54)
• The Future of AI Interfaces (36:04)
• Advancements in Computer Vision (38:46)
• The Role of AGI in AI Development (41:52)
• Final Thoughts and Takeaways (43:07)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Welcome to another episode of the Cynical Data Guys (0:24)
• Post on Short Sellers in Data (1:36)
• Investment Areas in Data (4:04)
• Teaching Git with GUI (9:00)
• Understanding Data Scientist Roles (12:25)
• Interview Process Critique (15:39)
• Hiring Process Challenges (19:19)
• Defining Team Fit (21:05)
• Effective Hiring Framework (23:05)
• Cynical Take on Trust Issues (25:02)
• Final Thoughts and Takeaways (26:05)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Edward's Background and Journey in Data (0:44)
• P&L Ownership Discussion (1:15)
• Challenges in Profit Ownership (3:38)
• Data Team Dynamics (5:52)
• Role Clarity Between CFO and CDO (7:31)
• Nuances of Data Leadership (11:24)
• Focus on Relevance in Data Work (14:05)
• Best Buy's Personalization Project (18:39)
• Building a Data Stack (21:00)
• Crowd-Driven Algorithms (25:26)
• Event-Based Personalization (28:12)
• Corporate Politics and Implementation (31:00)
• In-Store Experience Innovations (33:16)
• Impact of Data Science at Best Buy (37:14)
• The Importance of Data Teams in AI Implementation (39:19)
• Using AI Conversationally (42:09)
• Book Recommendations for Data Leaders (44:24)
• Final Thoughts and Takeaways (47:05)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Nicolay’s Background and Journey in AI (0:39)
• Milestones in LLMs (4:30)
• Barriers to Effective Use of LLMs (6:39)
• Data-Centric AI Approach (10:17)
• Importance of Data Over Model Tuning (12:20)
• Capabilities of LLMs (15:08)
• Challenges in Structuring Data (18:28)
• JSON Generation Techniques (20:28)
• Utilizing Unused Data (22:36)
• Importance of Monitoring in AI (34:11)
• Challenges in AI Testing (37:40)
• Error Tracing in AI vs. Software (39:24)
• The AI Startup Landscape (40:53)
• Marketing for Technical Founders (42:41)
• Generative AI Hype Cycle (44:33)
• Connecting with Nicolay and Final Takeaways (47:59)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Benn's Background and Journey in Data (0:48)
• Reflection on Strategy and Vision (2:10)
• The Importance of Doing It Your Way (4:10)
• Early Experiences and Blogging (6:27)
• Self-Imposed Pressure in Startups (8:24)
• The Challenge of Decision-Making (12:11)
• Key Decisions in a Startup's Trajectory (15:48)
• Understanding Startup Anxiety (17:24)
• Importance of Focus in Data Startups (20:02)
• Product Market Fit Insights (24:38)
• Cultural Change and Product Fit (30:23)
• Evolution of Data Teams (31:57)
• The Role of High-Profile Data Successes (34:12)
• Challenges of Data in Smaller Businesses (36:16)
• Product Team Dynamics (38:18)
• The Future of Excel (41:11)
• Anti-Patterns in Data Usage (45:05)
• Imagining Excel's Replacement (47:05)
• Exploring New Data Solutions (49:24)
• The Role of LLMs in Data Analysis (51:29)
• Final Thoughts and Takeaways (53:10)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Spencer's Background at Braze (1:54)
• The Early Days of Braze (2:41)
• Finding Product-Market Fit (4:44)
• First Major Customer (6:33)
• Unique Aspects of Braze's Growth Team (8:07)
• Startup Culture Experience (10:40)
• Data and Marketing Perspectives (12:50)
• Common Marketing Data Challenges (15:50)
• Changing Dynamics in Marketing Tech (18:12)
• Evaluating Marketing Tools (19:38)
• Transformation of Marketing Tools (22:18)
• Marketers Becoming More Technical (24:10)
• API Utilization in Marketing (25:46)
• Connecting Customer Experience (29:09)
• Flexibility in Data Integration (32:05)
• Pushing vs. Pulling Data (34:35)
• Anomaly Detection in Data Reporting (37:02)
• Understanding the Importance of Core KPIs (39:09)
• Making Data More Consumable (42:38)
• Final Thoughts and Takeaways (44:51)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Evan's Background and Journey in Data (0:40)
• Discussion on Synthetic Controls (1:04)
• Evan's Educational Journey and Marine Corps Experience (2:54)
• Joining Elder Research (4:38)
• Synthetic Controls Explained (6:54)
• Measuring Impact with Synthetic Controls (9:05)
• Building the Control Group (12:54)
• Qualitative Context in Data Analysis (14:50)
• Final Steps with Synthetic Controls (16:29)
• Client Analytics Maturity (18:56)
• Outsourcing Decisions in Analytics (21:09)
• Cohesion Between Analytics Teams (24:18)
• Validation of Predictive Models (26:37)
• Confidence in Marketing Predictions (29:01)
• Setting Expectations for Data Science (36:09)
• Evan's Background in Data Comedy (39:44)
• The Journey to Award-Winning Jokes (41:29)
• Creating New Jokes (46:22)
• Get the Joke Book and Final Thoughts in the Episode (48:46)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Current State of LLMs (1:12)
• Historical Analogy to the iPhone (3:32)
• Limitations of Early iPhones (5:02)
• Comparing LLMs to Historical Technologies (6:08)
• Skepticism About LLM Capabilities (9:11)
• Broad Nature of AI Innovations (10:12)
• User Input Challenges (14:32)
• Transcription and Unstructured Data (16:19)
• Single Player vs. Multiplayer Experiences with LLMs (18:50)
• Revenue Insights from ChatGPT (20:27)
• Contextual Use of LLMs in Development (23:43)
• Implications of Human Involvement (26:15)
• The Role of Human Feedback (29:19)
• Customer Data Management and LLMs (31:25)
• Streamlining Data Engineering Processes (34:24)
• Prototyping Content Recommendations (37:42)
• Summarizing Content for LLMs (39:51)
• Challenges with Output Quality (41:18)
• Data Formatting for Marketing Use (43:20)
• Efficient Workflow Integration (46:20)
• Exploring New Prototyping Techniques (50:56)
• Distance Metrics for Improved Relevance (53:00)
• Improving Search Techniques (56:46)
• Utilizing LLMs in Customer Data (59:15)
• Challenges in Customer Data Processing (1:01:10)
• Final thoughts and takeaways (1:02:12)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Lightning Round Discussion (1:21)
• Data Team's Truthfulness (2:21)
• Culture as a Blocker (9:10)
• Misconceptions about Data Jobs (10:32)
• Cultural and Technological Influences (11:51)
• Challenges in Data Science Projects (15:19)
• Embracing the Process (17:23)
• Barriers to Entry (19:36)
• Hiring Data Leaders (22:06)
• Challenges of Data Leadership (25:38)
• Evolving Hiring Criteria (27:30)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Cameron's Background and Journey in Data (1:49)
• Running a Bakery (3:03)
• Applying Analytics to Bakery Operations (7:07)
• Reevaluating Business Operations (18:08)
• Optimizing for Profitability (19:09)
• Working at Newell Rubbermaid (20:11)
• Value Engineering Projects (22:11)
• Starting a Center of Excellence (24:53)
• Productizing the Approach (29:48)
• Tech Stack for Data Analysis (31:40)
• Data Cleaning and Classification (35:16)
• Market Build and Pricing Accuracy (37:13)
• The AI Tool as a Pointy Stick (38:20)
• Sourcing and Sales as Two Sides of the Coin (41:04)
• Challenges with Parsing Data (44:06)
• Personal Journey and Company Success (46:44)
• Final thoughts and takeaways (47:45)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Jesse’s background and work in data (0:35)
• E-commerce Application for Search (1:23)
• Ph.D. in Physics Experience Then Working in Data (2:27)
• Early Machine Learning Journey (4:35)
• Machine Learning at Stitch Fix (7:28)
• Machine Learning at Amazon (10:39)
• Myths and Realities of AI (13:49)
• Bolt-On AI vs. Native AI (17:26)
• Overview of Marqo (19:46)
• Product launch and fine-tuning models (23:02)
• Importance of data quality (25:38)
• The power of machine learning in search (32:02)
• Future of domain-specific knowledge and product data (34:08)
• Unstructured data and AI (37:19)
• Technical aspects of Marqo's system (39:42)
• Challenges of vector search (43:27)
• Evolution of search technology (48:15)
• Future of search interfaces (50:43)
• Final thoughts and takeaways (51:53)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Overview of Hex and its Purpose (0:51)
• Discussion on AI and Data Collaboration (1:42)
• Product Updates in Hex (2:14)
• Challenges of Building AI Features (13:29)
• Magic Features and AI Context (15:22)
• Chatbots and UI (17:31)
• Benchmarking AI Models (19:06)
• AI as a Judge Pattern (23:32)
• Challenges in AI Development (25:31)
• AI in Production and Product Integration (28:43)
• Difficulties in AI Feature Prediction (33:38)
• Deterministic template selection and AI model uncertainty (36:21)
• Infrastructure for AI experimentation and evaluation (40:11)
• Consolidation and competition in the data stack industry (42:27)
• Data gravity, integration, and market dynamics (47:12)
• Enterprise adoption and the bundling and unbundling of platforms (51:03)
• The open source databases and the middle ground (53:18)
• Building successful open source businesses (57:00)
• The fun approach to product launch video (1:01:14)
• Final thoughts and takeaways (01:03:15)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• David’s Background and Career (0:49)
• Econometrics Work at UPS (3:14)
• Challenges with Time Series Data and Tools (7:15)
• Working at Google Cloud (11:28)
• BigQuery's Significance (13:51)
• Comparison of Data Warehouse Products (17:23)
• Learning different cloud platforms (20:17)
• Coherence in GCP (23:04)
• Observability and data analysis (32:44)
• Support for Iceberg format in BigQuery (36:31)
• AI in Observability (40:25)
• AI's Role in Observability (43:39)
• AI and Mental Models (46:04)
• Final thoughts and takeaways (48:32)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Jeff's Background and Transition to Independent Consulting (0:03)
• Working at Keurig and Business Model Changes (2:16)
• Tech Stack Evolution and SAP HANA Implementation (7:33)
• Adoption of Tableau and Data Pipelines (11:21)
• Supply Chain Analytics and Timeless Data Modeling (15:49)
• Impact of Cloud Computing on Cost Optimization (18:35)
• Challenges of Managing Variable Costs (20:59)
• Democratization of Data and Cost Impact (23:52)
• Quality of Fivetran Connectors (27:29)
• Data Ingestion and Cost Awareness (29:44)
• Virtual Warehouse Cost Management (31:22)
• Auto-Scaling and Performance Optimization (33:09)
• Cost-Saving Frameworks for Business Problems (38:19)
• Dashboard Frameworks (40:53)
• Increasing Dashboards (43:29)
• Final thoughts and takeaways (46:28)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Clint’s Background and Journey in Data (0:51)
• Starting a Data Career (2:01)
• Transition to Startup SaaS World (4:27)
• Clint’s Connection to a Federal Reserve Database (5:31)
• Challenges in Predictive Modeling (10:27)
• Data Input Challenges (15:50)
• Marketers' Workflow and Data Integration (18:29)
• Soft ROI vs. Hard ROI in Data Analysis (00:21:31)
• Balancing Internal Marketing and Data Team's Value (22:35)
• Simplifying Data Inputs for Predictive Models (25:09)
• Data Analysis Workflow and Tech Stack (29:06)
• Open Data Formats and Impact on Data Platforms (34:40)
• The S3 and Ecosystem Model (37:08)
• In-browser SQL Queries with DuckDB (39:24)
• Data Security Concerns and Solutions (41:47)
• Clean Rooms and Data Sharing (43:32)
• Final Thoughts and Takeaways (47:35)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Introducing a special edition of the show with the cynical data guy (0:19)
• Metadata and LLMs (2:32)
• Data-driven culture (8:44)
• No-code orchestration tools (17:09)
• No Code vs. Low Code (19:58)
• Enterprise Challenges with No Code Solutions (20:08)
• No Code Tools for Small Companies (21:40)
• Inappropriate Use of Tools (23:06)
• Final thoughts and takeaways (24:05)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• The history of computer science and AI inflection point (1:23)
• Binny's early programming experiences and the constraints of technology (2:14)
• Getting interested in computer programming (5:02)
• The experiment that impacted the starting of Kognitos (8:23)
• Challenges in traditional computer science (16:04)
• Reimagining programming and debugging through natural language (19:08)
• The operating system for applications (20:19)
• Changing the paradigm of programming (21:25)
• Complexity in software compilation (22:05)
• Challenges in automating business processes (24:50)
• Solving business process problems with Kognitos (27:39)
• AI as a tool in business solutions (34:05)
• The future of AI and specialized intelligence (37:08)
• Using LLMs for Context Generation (40:43)
• Biases and Data Set Source Transparency (41:48)
• Next Innovation in Data (44:34)
• Final Thoughts and Takeaways (47:06)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• David's Background and Journey in Data (0:30)
• Transition to Time Series Forecasting (2:03)
• Working on Time Series Forecasting at Amazon (2:55)
• Challenges and Experience in Time Series Forecasting (4:32)
• Transitioning to a New Role at Amazon (5:52)
• Tools and Methods for Time Series Forecasting (8:17)
• Forecasting Impact and Accuracy (15:30)
• Explaining Variance and Lessons Learned (18:58)
• Understanding Downstream Consumers and Empathy for Business Leaders (20:36)
• Amazon's Culture and Decision-Making Process (24:27)
• Assimilating into Amazon's Culture (26:04)
• Interpreting Data for Business Stakeholders (28:34)
• Consulting for Small Businesses (30:28)
• Challenges in Automation and Maintenance (32:18)
• Analyzing Financial Metrics for Small Businesses (34:51)
• Tooling and Data Solutions for Small Businesses (39:52)
• Empowering Small Businesses with Data (46:02)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Ben’s background and journey in data (0:18)
• Relating data to business outcomes (2:33)
• Facebook's approach to data-driven business outcomes (4:43)
• Subjectivity and data-driven business outcomes (8:43)
• Infrastructure and data collection at Facebook (12:04)
• The importance of first-party data and the death of third-party cookies (16:27)
• Facebook's Data and Attribution Challenges (20:08)
• Facebook's Infrastructure and Tooling (23:41)
• Differences in Data Approaches (28:26)
• Challenges of Data Project Alignment with Business Outcomes (32:58)
• Integration of Data into Tools and Partnerships (35:12)
• Building Alliances with Embedded Data Analysts (38:08)
• Budgeting for Data Teams (40:02)
• Healthy Team Dynamics and Budgeting (44:18)
• Data Team Reporting Structure (46:23)
• Connecting with Ben and More Content (50:55)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Ryan's Background and Roles in Data (0:05)
• Data Activation and Dashboard Staleness (1:27)
• Profiles and Data Activation (2:54)
• Customer-Facing Experience and Product Management (3:40)
• Profiles Product Overview (5:10)
• Use Cases for Profiles (6:44)
• Challenges with Data Projects (9:19)
• Entity Management and Account Views (15:33)
• Handling Entities and Duplicates (17:55)
• Challenges in Entity Management (22:18)
• Product Management and Data Solutions (26:08)
• Reverse ETL and Data Movement (31:58)
• Accessibility of Data Warehouses (36:14)
• Profiles and Entity Features (37:47)
• Cohorts Creation and Use Cases (41:17)
• Customer Data and Targeting (43:09)
• Activations and Reverse ETL (45:57)
• ML and AI Use Cases (55:53)
• Data Activation and ML Predictions (57:02)
• Spicy Take and Future Product Features (59:47)
• ETL Evolution and Cloud Tools (1:00:50)
• Unbundling and Future Trends (1:02:10)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Matt KG’s Background in Data (0:35)
• Challenges in purchasing data tools (1:28)
• Early experiences in data analysis (9:51)
• Matt’s Transition to a subprime auto loan company (13:19
• Transition to RudderStack and software purchase decisions (17:36)
• Tech Problems: People and Process (22:02)
• Challenges in Purchasing Data Tools (22:55)
• Budget Constraints and Purchasing Decisions (24:46)
• Challenges with Platform Documentation (26:55)
• Metrics and Cost Efficiency (30:11)
• Risk and Conviction in Purchasing Decisions (32:53)
• Justification and Value Creation (38:17)
• Connecting Data to Business Value (42:03)
• Navigating Business Relationships (46:25)
• Empowering Analysts (49:54)
• Relational Capital and Team Competency (51:29)
• Final thoughts and takeaways (54:16)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Kostas Passes the Baton as Co-Host of the Podcast (0:24)
• Reflecting on the Podcast (2:56)
• New Co-Host John Wessel and His Background in Data (4:34)
• Kostas Journey in Data (10:55)
• Rudderstack's Explosive Growth (21:28)
• The Podcast's Inception and Marketing Activities (24:19)
• Evolution of the podcast (27:22)
• Memorable guests and experiences (28:29)
• Connecting with industry leaders and key innovators in the space (33:05)
• Kostas' new venture (36:26)
• Advice for the new co-host (42:17)
• Final Thoughts and Takeaways (44:47)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• The Evolution of Data Systems (0:47)
• The Role of Open Source Software (2:39)
• Challenges of Time Series Data (6:38)
• Architecting InfluxDB (9:34)
• High Cardinality Concepts (11:36)
• Trade-Offs in Time Series Databases (15:35)
• High Cardinality Data (18:24)
• Evolution to InfluxDB 3.0 (21:06)
• Modern Data Stack (23:04)
• Evolution of Database Systems (29:48)
• InfluxDB Re-Architecture (33:14)
• Building an Analytic System with Data Fusion (37:33)
• Challenges of Mapping Time Series Data into Relational Model (44:55)
• Adoption and Future of Data Fusion (46:51)
• Externalized Joins and Technical Challenges (51:11)
• Exciting Opportunities in Data Tooling (55:20)
• Emergence of New Architectures (56:35)
• Final thoughts and takeaways (57:47)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Pete’s background and the origin story of Data Council (1:04)
• Reflecting on 10 years of Data Council (2:07)
• Impact of the pandemic on conferences (5:25)
• Rebuilding after the pandemic (7:42)
• Evolution of Data Council (10:33)
• Balancing content and sponsorship (16:17)
• Selecting speakers and content at Data Council (19:39)
• Highlights from the conference this year (21:58)
• Realization of AI Future (22:45)
• Embracing AI at Data Council (23:31)
• Announcement of Prime Ventures (25:43)
• Improving Data Council (27:45)
• Trends and Technologies (29:46)
• Cautions for Startups (31:47)
• Connecting with Data Council and Final Takeaways (33:09)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Tristan's Background and Journey into Data (1:14)
• Evolution of Machine Learning and AI (3:13)
• Impact of Generative AI (6:33)
• MLOps and Challenges in Early Data Science (8:48)
• Success and Applications of AI Today (11:34)
• Continual AI Copilot Platform (18:04)
• Challenges in building remarkable AI assistants (19:58)
• Reliability and accuracy in AI responses (25:31)
• Regulation and adoption of AI assistants (31:30)
• Future of AI assistants and Continual AI (33:12)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Ryan’s background in data (0:58)
• Transition from Performing Arts to Data (2:23)
• Understanding End Users in Data Projects (6:08)
• Learning from Failures in Data Projects (8:07)
• The self-service era (19:50)
• Struggles of self-service (21:23)
• The disillusion with dashboards (26:23)
• GoodData's approach (30:06)
• Merging wisdom with modern approach (31:50)
• User experience with GoodData (34:05)
• Defining metrics and AI (36:35)
• Connecting with Ryan and GoodData (39:26)
• Final thoughts and takeaways (41:06)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• The Evolution of Data Processing (2:36)
• Ryan’s Background and Journey in Data (4:52)
• Challenges in Transitioning to S3 (8:47)
• Impact of Latency on Query Performance (11:43)
• Challenges with Table Representation (15:26)
• Designing a New Metadata Format (21:36)
• Integration with Existing Tools and Open Source Project (24:07)
• Initial Features of Iceberg (26:11)
• Challenges of Manual Partitioning (31:49)
• Designing the Iceberg Table Format (37:31)
• Trade-offs in Writing Workloads (47:22)
• Database Systems and File Systems (55:00)
• Vendor Influence on Access Controls (1:01:58)
• Restructuring Data Security (1:03:39)
• Delegating Access Controls (1:07:22)
• Column-level Access Controls (1:14:19)
• Exciting Releases and Future Plans (1:17:47)
• Centralization of Components in Data Infrastructure (1:25:37)
• Fundamental Shift in Data Architecture (1:28:28)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Apruva’s background in streaming technology (0:48)
• Developer experience and Kafka streams (2:47)
• Motivation to bootstrap a startup (4:09)
• Meeting the Confluent founders and early work at Confluent (6:59)
• Projects at Confluent and transition to engineering management (10:34)
• Overview of Responsive and event-driven applications (12:55)
• Defining event-driven applications (15:33)
• Importance of latency and state in event-driven applications (18:54)
• Low Latency and Stateful Processing (21:52)
• In-Memory Storage and Evolution of Kafka (25:02)
• Motivation for KSQL and Kafka Streams (29:46)
• Category Creation and Database-like Interface (34:33)
• Developer Experience with Kafka and Kafka Streams (38:50)
• Kafka Streams Functionality and Operational Challenges (41:44)
• Metrics and Tuning Configurations (43:33)
• Architecture and Decoupling in Kafka Streams (45:39)
• State Storage and Transition from RocksDB (47:48)
• Future of Event-Driven Architectures (56:30)
• Final thoughts and takeaways (57:36)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Chad’s background and journey in data (0:46)
• Importance of Data Supply Chain (2:19)
• Challenges with Modern Data Stack (3:28)
• Comparing Data Supply Chain to Real-world Supply Chains (4:49)
• Overview of Gable.ai (8:05)
• Rethinking Data Catalogs (11:42)
• New Ideas for Managing Data (15:16)
• Data Discovery and Governance Challenges (18:51)
• Static Code Analysis and AI Impact on Data (24:55)
• Creating Contracts and Defining Data Lineage (27:31)
• Data Quality Issues and Upstream Problems (32:32)
• Challenges with Third-Party Vendors and External Data (34:29)
• Incentivizing Engineers for Data Quality (40:28)
• Feedback Loops and Actionability in Data Catalogs (45:30)
• Missing metadata (48:57)
• Role of AI in data semantics (50:27)
• Data as a product (54:26)
• Slowing down to go faster (57:38)
• Quantifying the cost of data changes (1:01:24)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Kevin’s background and work at Stripe (0:31)
• Evolution of Data Infrastructure at Stripe (2:18)
• Kevin's Interest in Data (5:29)
• Software Engineer or Data Engineer? (8:27)
• Speech Recognition Work at Amazon (11:06)
• Efficiency and Cost Management (15:50)
• Metadata and Query Analysis (18:38)
• Surprising Discoveries in Metadata Analysis (21:43)
• Optimizing Cost and Value (23:55)
• Product Sizing Stripe Data (26:39)
• Popular Tool for Data Interaction (30:08)
• Enabling Data Infrastructure Integration (35:22)
• Value of Data Pipelining for Stripe (39:32)
• Next Generation Product and Technology (43:54)
• Maximizing value in a decentralized environment (51:34)
• Future of open source projects in data infrastructure (57:59)
• Final thoughts and takeaways (59:02)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Michael’s background and journey in data (0:33)
• The origin story of Druid (2:39)
• Experiences and growth in Data (8:08)
• Druid's evolution (21:46)
• Druid's architectural decisions (26:32)
• The user experience (30:06)
• The developer experience (35:14)
• The evolution of BI tools (40:55)
• Data architecture and integration (47:53)
• AI's impact on BI (52:26)
• What would Mike be doing if he didn’t work in data? (56:27)
• Final thoughts and takeaways (57:02)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• The evolution of data operations (1:13)
• Unravel's role in simplifying data operations (2:17)
• Kunal’s journey from fashion to enterprise data management (5:23)\
• The Unravel platform and its components (10:08)
• Challenges in data operations at scale (16:34)
• Users of Unravel within an organization (22:32)
• Calculating ROI on data products (25:55)
• Understanding the cost of data operations (27:01)
• Measuring productivity and reliability (30:59)
• Diversity of technologies in data operations (34:52)
• Efficiency in cost management (44:15)
• Implementing observability in AI (47:55)
• Challenges of AI Adoption (50:17)
• Final thoughts and takeaways (51:36)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Tony's background and research focus (3:35)
• Challenges in academia and industry (6:15)
• Ph.D. student's routine (10:47)
• Academic paper review process (15:26)
• Aha moments in research (20:05)
• Academic lab structure (23:09)
• The decision to move from hardware to data research (24:43)
• Research focus on time series data management (27:40)
• Data modeling in time series and OLAP systems (32:01)
• Issues and potential solutions for parquet format (37:32)
• Role of external indices in parquet files (42:19)
• Tony's open source project (47:11)
• Final thoughts and takeaways (49:30)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Peter's background and journey in data (0:26)
• Introduction to PLG (4:18)
• Starting in data at Heroku (6:05)
• Building the data stack at Heroku (8:13)
• Data stack requirements for early-stage companies (12:00)
• Differentiating PLG companies from open source companies (19:26)
• Venture capital and open source as a lever for growth (22:56)
• Initial data modeling and analysis (25:38)
• Operationalizing Data (29:16)
• Sales and Marketing Operationalization (31:52)
• Identifying Signals (34:16)
• Challenges in Developing Signals (37:07)
• Account Management for Developer Tools (42:30)
• Challenges in Achieving Margins (45:02)
• Leveraging Infrastructure for Margins (47:35)
• Inference vs Training (54:55)
• Final thoughts and takeaways (57:02)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• The overview of refuel (0:33)
• The evolution of AI and LLMs (3:51)
• Types of LLM models (12:31)
• Implementing LLM use cases and cost considerations (00:15:52)
• User experience and fine-tuning LLM models (21:49)
• Categorizing search queries (22:44)
• Creating internal benchmark framework (29:50)
• Benchmarking and evaluation (35:35)
• Using refuel for documentation (44:18)
• The challenges of analytics (46:45)
• Using customer support ticket data (48:17)
• The tagging process (50:18)
• Understanding confidence scores (59:22)
• Training the model with human feedback (1:02:37)
• Final thoughts and takeaways (1:05:48)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Viren’s background in data (0:39)
• Evolution of Orchestration (1:52)
• AI Orchestration (3:00)
• Understanding Conductor and orkes (6:26)
• Event-Driven Orchestration (8:10)
• Viren’s Transition to Founder (12:27)
• Non-Technical Aspects of Being a Founder (15:50)
• Democratizing AI for Developers (18:16)
• The evolution of microservices orchestration (21:56)
• Challenges in appealing to the 99% developer group (24:32)
• Value of orchestration for developers (30:31)
• Role of orchestrators in managing faults (37:37)
• The intersection of AI and orchestration (40:27)
• Evolution of AI (44:04)
• Thriving in AI Environment (47:58)
• Final thoughts and takeaways (51:25)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Introduction of the panel (0:05)
• Defining composable data stack (5:22)
• Components of a composable data stack (7:49)
• Challenges and incentives for composable components (10:37)
• Specialization and modularity in data workloads (13:05)
• Organic evolution of composable systems (17:50)
• Efficiency and common layers in data management systems (22:09)
• The IR and Data Computation (23:00)
• Components of the Storage Layer (26:16)
• Decoupling Language and Execution (29:42)
• Apache Calcite and Modular Frontend (36:46)
• Data Types and Coercion (39:27)
• Describing Data Sets and Schema (42:00)
• Open Standards and Frontiers (46:22)
• Challenges of standardizing APIs (48:15)
• Trade-offs in building composable systems (54:04)
• Evolution of data system composability (56:32)
• Exciting new projects in data systems (1:01:57)
• Final thoughts and takeaways (1:17:25)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Artyom’s background in the data space (0:32)
• The growth and changes at Cube (5:58)
• Pain points of managing metrics definitions across different tools (9:39)
• Trade-offs between coupled and decoupled semantic layers (12:12)
• Making a case for implementing a semantic layer (14:17)
• The evolution of semantic layers (23:28)
• Challenges in designing a decoupled semantic layer (24:16)
• Different approaches to solving the interface problem (26:58)
• Implementing a SQL engine in Cube (35:58)
• Overhead and debugging in semantic layers (39:08)
• The semantic layer and its importance (46:26)
• The need for semantics in data products (47:34)
• What’s the future of semantic layers and user experience? (51:49)
• Final thoughts and takeaways (57:34)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• No Code Analytics (1:22)
• Analytics as a Team Sport (2:31)
• The workflow of someone without Alteryx (11:27)
• Alteryx's ability to handle diverse data sources (14:32)
• The balance between ease of use and complexity (23:06)
• Enabling casual end users with a no code interface (24:19)
• Taking analytics to the data (31:47)
• The boundaries between data engineers and end users (33:44)
• The importance of collaboration in analytics (34:12)
• The potential of every employee being a data worker (35:28)
• The human nature of the product and users in large enterprises (00:45:38)
• Final thoughts and takeaways (46:21)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Matt’s background and journey with Fermyon (2:32)
• WebAssembly and enhanced security models (3:43)
• The IOT Startup and Google Acquisition (10:49)
• Google's Early Containers (11:50)
• Scaling and anticipating requests (20:22)
• Introduction to WebAssembly and its importance (23:32)
• The Benefits of WebAssembly (30:57)
• Comparison of Virtual Machines, Containers, and Micro VMs (33:12)
• The Importance of Fast Startup Times in WebAssembly (37:39)
• Metaphysics and software development (42:12)
• The importance of effective communication in code development (43:18)
• The challenges and progress of WebAssembly (47:40)
• Requirements of different teams and different jobs (52:17)
• Final thoughts and takeaway (53:14)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• The role of an orchestrator in the lifecycle of data (1:34)
• Relevance of orchestration in data pipelines (00:02:45)
• Changes around data ops and MLOps (3:37)
• Data Cleaning (11:42)
• Overview of Dagster (13:50)
• Assets vs Tasks in Data Pipeline (19:15)
• Building a Data Pipeline with Dexter (25:40)
• Difference between Data Asset and Materialized Dataset (28:28)
• Defining Lineage and Data Assets in Dagster (29:32)
• The boundaries of software and organizational structures (37:25)
• The benefits of a unified orchestration framework (39:56)
• Orchestration in the development phase (45:29)
• The emergence of analytics engineer role (51:53)
• Fluidity in data pipeline and infrastructure roles (52:40)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• The evolution of the data scientist role (1:03)
• Common problems in different companies (2:05)
• Measuring and curating content on Reddit (4:29)
• The challenges of working with unstructured content at Reddit and Twitter (11:03)
• Lessons learned from Reddit and applying them at Twitter (13:17)
• Data challenges and customer behavior analysis at GlossGenius (20:16)
• How the data scientist's role has changed over time (00:25:10)
• The essence of the data scientist/engineer role (29:00)
• Dynamics and overlaps between different data roles (32:09)
• The perfect data team for Twitter (34:19)
• Building a data team at a startup like GlossGenius (36:36)
• The right time to bring in a dedicated data person in a startup (38:52)
• The analytics engineer role (46:25)
• Challenges in implementing telemetry (50:31)
• Final thoughts and takeaways (52:24)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• The Evolution of Databases and Data Systems (2:33)
• Abstracting Data for Business Users (4:31)
• Building a Database for Google-like Search (7:58)
• The Big Data Explosion (11:10)
• Selling Myspace as First Customer (13:14)
• Starting ActionIQ (16:57)
• The customer-centric organization (22:46)
• Transitioning to customer data focus (23:53)
• Understanding business users' needs (28:30)
• Supporting Arbitrary Queries and Data Models (34:42)
• Unique Technical Perspective of Clickstream Data (37:01)
• The value per terabyte of data (46:45)
• Building a product for multiple personas (50:45)
• Composability and Benefits (58:05)
• Evolution of Storage and Compute (1:00:09)
• Composability and Treasure Data (1:02:10)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Defining data mesh (6:37)
• Addressing the scale of organizational complexity and usage (9:04)
• The shift from monolithic to microservices (12:24)
• The sociological structure in data mesh (13:59)
• Data product generation and sharing in data mesh (17:27)
• Data Mesh: Simplifying Data Work (24:09)
• Getting Started with Data Mesh (29:14)
• Building products for Data Mesh (36:42)
• Building a customizable and extensible platform to shape data practice (39:28)
• The characteristics of a data product (48:40)
• Defining what a data product is not (50:45)
• The origin of the term "mesh" in data mesh (53:32)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Ben’s background in real estate (3:27)
• Why Fundrise was Started (4:37)
• Democratizing Investment Opportunities (6:35)
• Investment Thesis for Venture (11:55)
• Challenges with Data and Technology (12:34)
• Importance of Data Model Abstraction (20:03)
• Data Infrastructure and Investments (23:22)
• Evolution of Data Engineering (25:12)
• Closing the Tooling Gap (34:23)
• The user base segmentation (36:28)
• The emotional reality of investment decisions (40:50)
• Data inputs for real estate investment (47:07)
• The work of data infrastructure (48:28)
• The limitations of underwriting analysis (49:36)
• Improving accuracy with data infrastructure (52:43)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• The concept of composable at a lower level of data infrastructure (1:28)
• New architectures and components that allow developers to build databases (3:44)
• Pedro's background and experience in data infrastructure (6:18)
• The Spectrum of Latency and Analytics (12:59)
• Different Query Engines for Different Use Cases (16:32)
• Vectorized vs Code Gen Data Processing (19:33)
• Vectorization and Code Generation (21:21)
• Examples of Vectorized Engines (24:33)
• Rewriting Execution Engine in C++ (27:22)
• Different Organization of Presto and Spark (33:17)
• Arrow and its Extensions (37:15)
• The similarities between analytics and ML (44:33)
• Offline feature engineering and data preprocessing for training (48:00)
• Dialect and semantic differences in using Velox for different engines (50:01)
• The convergence of dialects (52:23)
• Challenges of substrate and semantics (53:18)
• Future plans for Velox (58:09)
• The discussion on evolving Parquet (1:03:38)
• The integration of the relational model and the tensor model (1:07:29)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Colin's Background and Starting Omni (1:48)
• Defining “good” at Google search early in his career (4:42)
• Looker's Unique Approach to Analytics (9:48)
• The paradigm shift in analytics (10:52)
• The architecture of Looker and its influence (12:04)
• Combatting the challenge of unbundling in the data stack (14:26)
• The evolution of analytics engineering (21:50)
• Enhancing user flexibility in Omni (23:44)
• The evolution of BI tools (32:53)
• What does the future look like for BI tools? (35:14)
• The role of Python and notebooks in BI (39:48)
• The product experience of Omni and its vision (45:27)
• Expectations for the future of Omni (47:52)
• The relationship between algorithms and business logic (50:51)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• The Unique Perspective of Practitioners (2:10)
• Account-based Marketing (6:30)
• Sales Development Representatives (SDR) (8:05)
• Descriptive, People, and Engagement Data (11:38)
• Data Overload and Actionable Data (14:20)
• Working with Data Teams and Internal Data (17:52)
• The relationship between business and data teams (22:27)
• The importance of collaboration between marketing and data teams (24:17)
• Travis and Hillary writing a book (25:33)
• The taxonomy of personas (34:23)
• Bucketing and grouping people in data systems (35:37)
• Account-based marketing and sales alignment (39:00)
• The data-driven approach and reliance on technology (44:25)
• Managing complexity in data and account-based marketing (45:35)
• Adapting to change and evolving data artifacts (51:58)
• The importance of understanding the business (54:58)
• Collaboration between data and go-to-market teams (55:56)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Johnny and David’s background in working together (1:56)
• The background story of Estuary (4:15)
• The challenges of ad tech and the need for low latency (5:44)
• Use cases for moving data at scale (10:35)
• Real-time data replication methods (11:54)
• Challenges with Kafka and the birth of Gazette (13:54)
• Comparing Kafka and Gazette (20:22)
• The importance of existing streaming tools (22:28)
• Challenges of managing Kafka and the need for a different approach (23:40)
• The role of compaction in streaming applications (26:54)
• The challenge of relaxing state management (34:01)
• Replication and the problem of data synchronization (36:48)
• Incremental Back Fills and Risk-Free Production Database (46:03)
• Estuary as a Platform and Connectors (47:45)
• The challenges of real-time streaming (57:56)
• Orchestration in real-time streaming (1:00:51)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• The potential of AI-driven applications (1:34)
• The need for hardware infrastructure in AI experimentation (2:40)
• Oligopoly on the closed side (11:50)
• Advantages of private side vs. open source (13:18)
• Leveraging valuable data within enterprises (16:00)
• The urgency of adopting LLMs in the enterprise (24:02)
• Expansion of LLMs into new business verticals (25:06)
• The challenges of operationalizing LLMs (29:32)
• Seamless experience with OpenAI (37:29)
• Operationalizing with Gradient (38:36)
• The early genesis of Gradient (48:53)
• The democratization of AI through endpoints (51:44)
• What is the future of language models? (54:07)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Chang’s background and journey with Pandas (6:26)
• The persisting challenges in data collection and preparation (10:37)
• The resistance to change in using Python for data workflows (13:05)
• AI hype and its impact (14:09)
• The success and evolution of Pandas as a data framework (20:04)
• The vision for a next-generation data infrastructure (26:48]
• LanceDB's file and table format (34:35)
• Trade-Offs in Lance Format (42:45)
• Introducing the Vector Database (46:30)
• The split between production and serving databases (51:14)
• The importance of unstructured data and multimodal use cases (57:01)
• The potential of generative AI and the balance between value and hype (1:01:34)
• Changing expectations of interacting with information systems (1:13:53)
• Final thoughts and takeaways (1:15:32)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Santona’s journey from nuclear physics to data science (4:59)
• The appeal of startups and wearing multiple hats (8:12)
• The challenge of pseudoscience in the news (10:24)
• Approaching data with creativity and rigor (13:22)
• Challenges and differences in data workflows (14:39)
• Schema Evolution and Quality Problems (27:01)
• Real-time Data Monitoring and Anomaly Detection (30:34)
• The importance of data as a business differentiator (35:48)
• The SQL job creation process (46:25)
• Different options for creating solver jobs (47:20)
• Adding column-level expectations (50:17)
• Discussing the differences of working with data as a scientist and in a startup (1:00:18)
• Final thoughts and takeaways (1:04:01)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• How music impacted Bob’s data journey (3:16)
• Music’s relationship with creativity and innovation (11:38)
• The genesis of Weaviate and the idea of vector databases (14:09)
• The joy of creation (19:02)
• OLAP Databases (22:21)
• The progression of complexity in databases (24:31)
• Vector database (29:23)
• Scaling suboptimal algorithms (34:34)
• The future of vector space representation (35:51)
• Databases role in different industries (39:14)
• The brute force approach to discovery (45:57)
• Retrieval augmented generation (51:26)
• How generative model interacts with the database (57:55)
• Final thoughts and takeaways (1:03:20)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Nick’s background and journey in data (2:28)
• Founding Dagster Labs (7:50)
• The evolution of data engineering (12:32)
• Fragmentation in data infrastructure (15:04)
• The role of orchestration in data platforms (19:53)
• The importance of operational tools for data pipelines (25:01)
• Lessons learned from working with GraphQL (26:19)
• The role of the orchestrator in data engineering (34:51)
• The boundaries between data infrastructure and product engineering (37:33)
• Different orchestrators in the data infrastructure landscape(42:03)
• The role of MLOps in data engineering (46:04)
• Data Quality and Orchestration (51:04)
• Future of Data Teams and Orchestration (54:27)
• Final thoughts and takeaways from (58:01)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Amr’s extensive background in data (3:23)
• The evolution of neural networks (9:21)
• The role of supervised learning in AI (11:17)
• Explaining Vectara (13:07)
• Papers that laid the foundation for AI (15:02)
• Contextualized translation and personalization (20:07)
• Ease of use and answer-based search (25:01)
• AI and potential liabilities (35:54)
• Minimizing difficulties in large language models (36:43)
• The process of extracting documents in multidimensional space (44:47)
• Summarization process (46:33)
• The danger of humans misusing technology (54:59)
• Final thoughts and takeaways (57:12)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Alex’s background in the data space and the creation of Redpanda (4:23)
• The cost and complexity of streaming (11:07)
• The evolution of storage with Kafka (12:04)
• The distinction between streaming technologies (15:10)
• Simplicity as a Core Design Principle (27:03)
• Cost Efficiency in a Cloud Native Era (30:44)
• Removing complexity with Redpanda (34:21)
• Migrations and compatibility with Redpanda (40:35)
• The Future of Redpanda (43:44)
• The Story Behind Redpanda (46:45)
• Final thoughts and takeaways (50:25)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Emilie’s background and journey in data (3:42)
• The problem of three-way match (8:56)
• Operational workflows and how data stacks solve them (13:16)
• Turbine’s solution as a lightweight ERP (14:05)
• Workflows and analytics (14:59)
• Consolidating information into helpful application (27:41)
• Challenges in operational workflows (32:19)
• Friction and hurdles in ERP usage (39:28)
• A solution for purchase order management (40:47)
• Turbine’s focus and limitations (45:26)
• Building a software that gets out of the way (52:51)
• Final thoughts and takeaways (54:25)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Pardis’ background and journey in data (3:24)
• AI before the hype (8:37)
• Founding General Folders (12:36)
• Data collaboration challenges (15:31)
• Examples of data sharing (17:40)
• Data transfer in various industries (22:16)
• Defining the transfer problem (28:30)
• The demand for scalable solutions (32:06)
• Data transfer and model exposition (41:02)
• Data governance and API (43:23)
• Final thoughts and takeaways (56:48)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Jakub’s journey into data and working with notebooks (2:43)
• Overview of Deepnote and its features (7:22)
• Notebook 1.0 and 2.0 (14:04)
• Notebook 3.0 and its potential impact (15:46)
• The need for collaboration across organizations (17:16)
• Real-time, asynchronous, and organizational collaboration (28:02)
• Challenges to collaboration (32:03)
• Notebooks as a universal computational medium (36:14)
• The rise of exploratory programming (41:40)
• The power of natural language interface (43:04)
• The evolving grammar of using notebooks (47:02)
• Final thoughts and takeaways (55:50)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Ken’s background and journey to Heap (2:32)
• Heap’s problem-solving approach (8:19)
• Auto-capture and its significance in the marketplace (13:03)
• Providing qualitative context: sessions and surveys (16:23)
• Collection and storage of data (25:42) 
• Challenges of real-time data collection (26:40)
• The true gap in the market today (37:39)
• Consolidation and aggregation of data solutions (41:58)
• Simplifying the data stack (47:32)
• A different approach in engineering and software development (51:12)
• Skills and Stages in Company Growth (55:58)
• Final thoughts and takeaways (1:02:52)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• The need for reverse ETL in marketing (2:24)
• Closing the gap between engineering, data, and marketing teams (8:37)
• The analytics persona’s opportunity (11:53)
• Interface layer (13:06)
• Approach to messy warehouse data (15:57)
• The need for a complicated infrastructure (28:43)
• Challenges in data integration for marketers (29:26)
• The evolution of the analytics stack (31:53)
• Orchestration of the data warehouse (38:39)
• The role of marketing tools (40:35)
• Generating custom assets (46:27)
• The shift towards making data processes easier (48:13)
• Final thoughts and takeaways (49:23)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Brendan’s background and journey to Groundswell (2:25)
• The impact of generative AI on sales reps and product building (5:38)
• Lead sourcing challenges (12:22)
• Salesforce as a data model (14:30)
• The need for guardrails in building applications around sales (24:37)
• The question of interfaces in the layers of Salesforce (26:11)
• A UI solution for sales and marketing (30:45)
• The future of logic and machine learning models (37:11)
• The battle for data ownership (39:36)
• Actioning data and the role of refineries (46:03)
• The potential for decentralized systems using generative AI (46:59)
• Product building for the future (57:47)
• Building trust in data tools (59:10)
• The era of innovation (1:09:20)
• Final thoughts and takeaways (1:10:43)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Building Dozer: Simplifying Data Sources into APIs (1:13)
• Bridging Data Engineering with Application Engineering (4:19)
• Turning Data Sources into APIs (7:46)
• The cost of caching (12:59)
• Challenges with legacy systems (14:30)
• Real-time data integration (19:31)
• YAML and SQL experience (25:37)
• Behind the scenes of Dozer (29:18)
• Heavy Workloads and Low Latency (42:00)
• Use Cases of Dozer (45:51)
• Reliability and storing data from different connectors (51:35)
• Importance of observability in serving data to customers (53:24)
• Final thoughts and takeaways (56:34)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

.

Highlights from this week’s conversation include:

• Stefan’s background in data (2:39)
• What is DAGWorks? (3:55)
• How building point solutions influenced Stefan’s journey (5:03)
• Solving the tooling problems of self-service at an organization (11:44)
• Creating Hamilton (15:53)
• How Hamilton works with definitions and time-series data (19:34)
• What makes Hamilton an ML-oriented framework? (23:39)
• Navigating the differences between ML teams and other data teams (26:27)
• Understanding the fundamentals of Hamilton (28:25)
• Dealing with types and conflicts in programming (33:18)
• How Hamilton helps improve pipelines and maintaining data (37:11)
• Why unit testing is important for a data scientist (44:54)
• The ups and downs of founding building a data solution (46:32)
• Connecting with DAGWorks and trying out Hamilton (50:01)
• Final thoughts and takeaways (52:46)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Lars work on Resoto in helping to cut cloud costs for organizations (2:02)
• The trend of large resources to micro resources (5:59)
• What are some of the typical resource drains in data infrastructure (8:56)
• Managing cost on the backend with scale and experimentation (12:51)
• Solutions for resource management problems (17:38)
• How Resoto is solving pain points in resource management (26:17)
• Navigating the complexities of data infrastructure (29:01)
• Resoto’s solution for interpreting difficult cloud data products (36:35)
• Exploring relationships of data points and finding solutions (43:40)
• Querying in graph database (47:46)
• How to go from graph to SQL (49:13)
• How can data teams plan for costs in the coming years (50:53)
• Final thoughts and takeaways (53:49)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Soumyadeb’s background and journey in data (5:49)
• Defining customer data (8:10)
• The complexity of customer data collection (10:04)
• What is a CDP and how it is properly deployed (17:12)
• Bridging the gap of data collection and useful analytics for marketing (21:46)
• How Rudderstack translates data and the new profile feature (25:30)
• The foundations of data in building a 360 degree customer profile (30:30)
• Solutions for the intersection between engineering and business users (34:35)
• How AI and other future technologies will impact data (41:14)
• Final thoughts and takeaways (46:30)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Simba’s background in the data space (3:05)
• Subscription intelligence (6:41)
• ML and Distributed Systems (9:09)
• The Brutal Subscription Industry (12:31)
• Serendipity in Recommender Systems (16:31)
• Subscription as a Strategy (20:47)
• Customizing Content for Subscribers (22:19)
• Creating User Embeddings (25:53)
• Building Featureform (28:01)
• Embedding Projections (32:47)
• Spaces and similarity (35:53)
• User embeddings and transformer models (38:22)
• Vector Databases for AI/ML (45:05)
• Orchestrating Transformations in Featureform (51:00)
• Impact of new technologies on feature stores (56:17)
• Embeddings and the future of ML (59:20)
• The gap between ML and business logic (1:02:26)
• Final thoughts and takeaways (1:06:37)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Stipo and Rob’s background in data (2:43)
• What is Sigma? (7:46)
• Takeaways from building analytics products in-house (9:16)
• Sigma’s approach to datastore interface (11:32)
• Why analytics and BI are still not a solved problem (15:50)
• Combining SQL and spreadsheets for useful interface (23:17)
• The evolution of BI to today (29:40)
• Overcoming the challenges of collaboration in working with data (33:17)
• Creating operational coding that humans can understand (46:50)
• The future of BI (54:00)
• Cloud’s impact on BI and analytics (1:00:04)
• The value of getting close to the data for analytics (1:02:21)
• Final thoughts and takeaways (1:08:45)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Scott’s background in martech (3:10)
• Where things have gone wrong between IT and marketing (5:46)
• The explosion of digital marketing data (12:04)
• Costs of having data siloed (16:14)
• The convergence of marketing and IT teams around data (19:27)
• Navigating the massive landscape of martech tools (26:10)
• Needed tools in the martech stack (31:11)
• The importance of an accurate attribution model (34:37)
• Building tooling for marketers and developers to use (39:20)
• Future areas of development in the martech space (44:46)
• Final thoughts and takeaways (52:40)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Ioannis’ background and journey in data (2:42)
• Rudderstack’s transformations feature and examples of its application (4:20)
• Winning the transformations contest at Rudderstack (7:21)
• How Ioannis’ transformation project works for data governance (9:40)
• Memories from college for Ioannis and Kostas (12:30)
• Getting into the world of software development (17:27)
• The changes in data and engineering over the years (20:29)
• Bridging java with python (23:15)
• Dealing with ML workloads in the past vs. workflows of today (26:30)
• Data engineers and ML engineers (33:12)
• Dealing with data in the early stages to ensure reliability later on (38:39)
• What creates problems with data quality? (42:11)
• Exciting developments in data engineering (46:48)
• Final thoughts and takeaways (51:12)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Davor’s journey from Google and what he was building there (3:32)
• How work in stream processing changed Davor’s journey (5:10)
• Analytical predictive models and infrastructure (9:39)
• How Kaskada serves as a recommendation engine with data (14:05)
• Kaskada’s user experience as an event processing platform (20:06)
• Enhancing typical feature store architecture to achieve better results (23:34)
• What is needed to improve stream and batch processes (27:39)
• Using another syntax instead of SQL (36:44)
• DataStax acquiring Kaskada and what will come from that merger (40:24)
• Operationalizing and democratizing ML (47:54)
• Final thoughts and takeaways (56:04) 

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Aditya’s background and journey in the data space (2:47)
• What does Ponder do? (5:18)
• 101 on Pandas and why people utilize it (6:42)
• The challenge of translating Pandas to a big data platform (16:11)
• Data Warehouses and ML workflows (21:27)
• The differences in the “zoo” of data languages (26:56)
• Why do ML and data engineering have to be so different in languages? (34:39)
• Builders should be adapting to the users and not the other way around (39:32)
• Will we see a singular data interface in the future? (46:19)
• Aditya’s most surprising discovery in his research (50:40)
• Final thoughts and takeaways (53:18)

Read more of Aditya's work: 

• Pandas vs. SQL – Part 1: The Food Court and the Michelin-Style Restaurant
• Pandas vs. SQL – Part 2: Pandas Is More Concise
• Pandas vs. SQL – Part 3: Pandas Is More Flexible
• Pandas vs. SQL – Part 4: Pandas Is More Convenient

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• A.J.’s background and journey in data (2:23)
• Challenges with Hadoop ecosystem (8:50)
• Starting InfinyOn and the need for innovation (10:02)
• Challenges with Kafka and Microservices (14:01)
• Real-time data streaming for IoT devices (19:28)
• Paradigm shift to real-time data processing (22:17)
• Benefits of Rust (29:45)
• Web Assembly and Platform Features (36:29)
• Analytics and Event Correlation (40:16)
• Real-time data processing (47:03)
• ETL vs ELP (52:20)
• Final thoughts and takeaways (57:07)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Josh’s background in data working at Google, Slack, and other companies (1:21)
• The need and process for high quality data (4:33)
• Digging into auction code (14:03)
• Joining Slack and working in the early days of the company (18:00)
• Not fighting the last war in data (25:42)
• Building a product, while using the product (30:35)
• Transitioning to the search team at Slack (36:50)
• Usage patterns of search (41:21)
• Josh’s work in helping build DuckDB (46:20)
• Having the right toolset to increase precision and efficiency (52:42)
• Final thoughts and takeaways (56:03)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Dhruba’s journey into the data space (2:02)
• The impact of Hadoop on the industry (3:37)
• Dhruba’s work in the early days of the Facebook team (7:54)
• Building and implementing RocksDB (14:33)
• Stories with Mark Zuckerberg at Facebook (24:25)
• The next evolution in storage hardware (26:14)
• How Rockset is different from other real-time platforms (33:13)
• Going from a key value store to an index (37:15)
• Where does Rockset go from here? (44:59)
• The success of RocksDB as an open source project (49:11)
• How do we properly steward real-time technology for impact (51:17)
• Final thoughts and takeaways (56:18)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• The origin story of Data Council (0:39)
• Developments for the future of Data Council (2:42)
• The emphasis of AI and ChatGPT at this year’s conference (3:54)
• The support of the data community (5:31)
• Biggest changes and innovations in the industry (7:10)
• What’s next for the Data Council? (10:46)
• Getting connected with Data Council (13:07)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Gunner’s background in data (0:32)
• Setting the vision in early days of Red Hat and spearheading Debezium (6:20)
• Replication of data in Debezium (9:47)
• The patterns and processes of Debezium (16:21)
• Debezium working with Kafka (19:03)
• Building a diverse system while incorporating common interfaces (24:09)
• The importance of documentation in open-sourced projects (27:59)
• Debezium’s vision moving forward (31:32)
• Why aren’t there more CDC open-sourced solutions? (34:35)
• Connecting with Gunnar (37:27)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Michael’s journey to co-founding Tecton (0:22)
• The evolution of MLops and platform teams (3:50)
• Understanding boundaries between the data platform and the MLops (8:42)
• Differences in machine learning vs data pipelines (16:58)
• The systems needed to handle all these types of data (22:22)
• Developer experience in Tecton (25:15)
• Automating challenges in ML development (32:30)
• The most difficult part of the life cycle of prediction (37:24)
• Exciting new developments at Tecton (39:27)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Will’s background in data (0:28)
• Privacy dynamics and data anonymization (4:18)
• Addressing data privacy problems in the space (10:33)
• Developer experience with Privacy Dynamics (13:49)
• How does Privacy Dynamics work? (21:09)
• Update of real-time anonymized data (26:29)
• The problem of dates and other complexities in data (31:24)
• Being a data engineer in a startup (34:44)
• Moving at the speed of a startup (41:01)
• Connecting with Will and Privacy Dynamics (43:28)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Chase’s journey to where he is today (0:51)
• Lessons in go-to-market roles which helps in the VC world (2:38)
• Differentiating between go-to-market and distribution (8:13)
• Taking an idea to the market (11:33)
• Hardest part of the pitch (17:08)
• Playbooks for go-to-market founders to follow (20:25)
• Focus of sales and marketing in go-to-market strategy (28:01)
• Answering the what and how of the problem you are solving (32:30)
• The importance of pricing in a go-to-market strategy (46:11)
• Connecting with Chase (1:00:58)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Introducing the team from Featureform (0:31)
• In the work vs. leading the work (3:01)
• Difference between MLOps and data ops (7:06)
• The MLOps cycle (10:12)
• What is Featureform and what makes it different? (13:30)
• Is there another layer needed in feature stores? (18:46)
• Getting in touch with Featureform (23:55)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Eric’s journey to becoming CEO of Decoable (0:20)
• Does real time matter? (2:12)
• Differences in stream processing systems (7:57)
• Processing in motion (13:04)
• Why haven’t there been more open source projects around CDC? (20:34)
• The Decodable experience and future focuses for the company (24:31)
• Streaming processing and data lakes (32:54)
• Data flow processing technologies of today (39:01)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Origins of OtterTune (4:43)
• The problem of knob tuning (6:25)
• Roles of machine learning (9:32)
• OtterTune’s development and industry recognition (12:03)
• The challenges of database tuning and the role of human expertise (16:15)
• Tuning in production (20:23)
• Observability and Data Collection (23:37)
• Data Security and Privacy (29:59)
• Optimizing on-prem vs. cloud workloads (35:52)
• Performance benchmarks (40:20)
• Future opportunities OtterTune is focusing on (43:55)
• Importance of automated tuning services (50:45)
• Challenges in Benchmarking Real Workloads (58:43)
• The Story Behind the Name OtterTune (1:08:58)
• Balancing Technology and Human Factors (1:13:23)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• The journey of H.O. into data and becoming the CEO of FeatureBase (2:37)
• Characteristics of the super evolution in technology (6:36)
• ChatGPT as the missionary of AI (9:45)
• The tension between authenticity and technology (13:12)
• What is FeatureBase? (17:53)
• Comparing FeatureBase to feature stores (25:58)
• Workload capacities and possibilities in FeatureBase (33:20)
• The importance of developer experience on a platform (38:23)
• Exciting developments for FeatureBase in the future (47:13)
• Final thoughts and takeaways (53:52)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Sammy’s background in data and tooling (2:46)
• Going from multipurpose engineering to a CTO position (5:14) 
• Changes in technology and deep learning models (7:31)
• The state of self-driving and adoption (13:49)
• What is Eventual and what are they solving in the space? (20:54)
• What are daft and data frame and how they work? (28:11)
• Building a query optimizer (33:42)
• Sammy’s take on what is going on in data and future possibilities (45:18)
• Eventual’s future and its impact on the space (51:44)
• Final thoughts and takeaways (53:47)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Chad’s background in data (2:10)
• Breaking down data quality (4:02)
• Semantic and logical layers of data (10:04)
• What are data contracts and how do they work? (17:41)
• Implicit contracts at companies (24:01)
• Where do data contracts fit in data infrastructure? (28:14)
• The value of data contracts to the producer and consumer (31:18)
• Tools needed in effective data contracts (46:13)
• The importance of community in data quality (50:53)
• Getting connected to Data Quality Camp (1:00:55)
• Final thoughts and takeaways (1:01:53)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Defining CDPs (2:28)
• The data team's role in marketing (7:41)
• Leveraging commonalities across businesses (12:49)
• Building a CDP with customer data (18:05)
• Challenges in identity modeling (23:00)
• CDP lifecycle and one-to-one data (30:06)
• Segmentation and optimization (33:23)
• Real-time data in the cloud (40:37)
• The future of AI and machine learning (43:02)
• Final thoughts and takeaways (46:42)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Vijay’s background in data (2:09)
• The journey of founding ThoughtSpot and its impact in the world of BI (2:49)
• The maturation of BI (6:34)
• What is NetSpring.io? (8:21)
• Bridging the gap of BI and product analytics (14:41) 
• Why data warehouses and not time-series databases? (19:58)
• The difficulty of using SQL in product analytics (28:35)
• Challenges in pricing models for product analytics and tooling (35:41)
• Combining analytics and attribution (42:00)
• What’s the next wave of product analytics? (47:28)
• Final thoughts and takeaways (53:41)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• David’s background and journey to Timescale (2:12)
• What are time series databases? (14:13)
• How Timescale would have impacted David’s trajectory early in his career (17:51)
• Innovation in postgreSQL (21:02)
• Why does Timescale build their timeseries databases differently? (27:08)
• The challenges of building a new database on top of an old software (32:22)
• Writing outside of SQL and Timescale’s secret sauce (37:47)
• The importance of the developer experience in Timescale (54:08)
• How does someone know when they need to implement time series functionality (56:51)
• Final thoughts and takeaways (1:04:57)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Alex’s background working for NSA and starting a company (1:51)
• The Gretel.ai journey (9:30)
• Defining synthetic data (13:26)
• The evolution of AI in deep learning data and language learning (16:28)
• The properties of synthetic data (21:31)
• Boundaries between synthetic data and prediction models (25:52)
• The developer experience in Gretel.ai (36:44)
• Stewardship and expansion of deep learning models in the future (45:36) 
• Final thoughts and takeaways (52:17)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Alex’s background in the data space (2:41)
• Comics and Pop Culture Blending with Finance training (5:20)
• What is a data lake house? (7:36)
• What is Dremio solving in for users? (11:21)
• Essential components of a data lake house (16:35)
• Difference between on-prem and cloud experiences (33:53)
• What does it mean to be a developer advocate? (41:31)
• Final thoughts and takeaways (49:02)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Spenser’s journey to Co-Founding Amplitude (3:02)
• Looking back over the last decade of success at Amplitude (8:31)
• Going from Engineer to Sales (14:41)
• Comparing product analytics and general analytics (20:11)
• How cloud data warehousing has impacted analytics (31:38)
• Providing an out-of-the-box experience for consumers (41:12)
• Final thoughts and takeaways (54:27)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Jeff’s background at Netflix and Stripe leading him to Abbey Labs (2:22)
• What Abbey is solving in the space (5:16)
• Tackling permissions in an organization (7:30)
• Opportunities to improve the availability of data (10:14)
• The challenge of tackling a new problem area at a new company (14:59)
• What is the most common challenges in the identity and security space (18:43)
• Importance of identity and the ability to track it in data (22:46)
• Connecting all the different platforms without frustrating the user (30:32)
• What are the parts of access data that needing to be tracked (36:10)
• Dealing with the varieties of data in security and managing permissions (40:26)
• Final thoughts and takeaways (51:52)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Pedram’s journey into the world of data (4:05)
• What should the datastack at an early-stage startup look like? (9:53)
• New ideas surrounding access control for data (24:45)
• What can data teams learn around complexity from software engineering (30:55)
• Scaling up instead of scaling out in processing data (37:40)
• Why DuckDB is making so much noise in the market (41:06)
• Final thoughts and takeaways (53:25)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Stavros’ journey into data and founding TileDB (3:12)
• What problem was TileDB going to solve? (12:05)
• Defining database systems (21:35)
• What part of database architecture is TileDB? (31:58)
• Storage engine solutions (42:37)
• What does the API look like in using TileDB? (50:40)
• What makes genomics unique in working with data (55:28)
• Final thoughts and takeaways (1:06:46)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Joran’s background leading him from accounting to coding (3:10)
• What is Tiger Beetle? (5:53)
• Double-entry accounting and why it is important for a database (12:28)
• The need for low latency and high throughput (26:27)
• Why financial database software needs a laser focus (29:01)
• What are people using to implement a double-entry system? (36:09)
• Safety in financial software and addressing storage faults (40:26)
• Final thoughts and takeaways (55:52)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Defining data flow (2:31)
• Are there limitations in timely data flow operation and/or building operators? (8:20)
• Areas of incremental computation that are having an impact today (17:10)
• Building a library vs building a product (24:06)
• Combining delight and empathy into a focus (27:52)
• Final thoughts and takeaways (32:42)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• What is Materialize? (2:43)
• Frank and Arjun’s journey in data and what led them to the idea of Materialize (6:22)
• The good and the bad of research in academia vs starting a company (25:20)
• The MVP for databases (33:49)
• Materialize’s end-to-end benefit for the user experience (43:03)
• Interchanging Materialize in warehouse and cloud data usage (48:25)
• The trade-offs within Materialize (1:00:02) 
• Final takeaways and previewing part two of the conversation (1:09:25)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Zack’s extensive background in the world of data and the genesis of Zing (3:02)
• Working on relevance, feeds, and ads at Facebook & LinkedIn (9:20)
• Exploring BI and queries on mobile devices (16:48)
• Reliance of input quality in data (23:28)
• Delivering a mobile-first experience in BI (30:11)
• Limitations of visualization on mobile devices (34:00)
• How BI tools interact with one another in Zing (45:21)
• The future of user-experience in consuming data (49:19)
• Final thoughts and takeaways (59:56)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Taylor’s journey into data (3:09)
• What’s been going on at Meltano recently? (7:28)
• Addressing basic problems in data even with advancements in technology (12:23)
• What makes Meltano unique in the space (16:53)
• Why the CLI experience is important (25:37)
• Quality vs quantity in supporting connectors (35:51)
• What does data ops look like for Meltano (46:44)
• Takeaways and closing thoughts (52:56)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Aron’s background in the world of data (2:18)
• Recent Clients and major projects (3:30)
• Helping to spearhead data-driven growth at Salesforce (6:50)
• Stories about Marc Benioff, co-founder of Salesforce (16:12)
• Biggest learnings as a consultant in the data strategy space (17:58)
• The need for data democratization (23:33)
• Advice for Aron’s younger self in consulting (28:45)
• Current trends in data democratization and sales service (35:01)
• Aron’s favorite tools and platforms to use (42:19)
• Favorite part of the consulting process (47:45)
• Final thoughts and takeaways (50:29)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Ashwin’s background in the data space (2:43)
• The unique nature of working with data in finance (7:32)
• Technological challenges of working in the finance data space (13:55)
• The third-party data factor and judging if it is reliable enough (17:07)
• What made Ashwin decide to go out and build his own company? (31:47)
• Defining data decay and data storing and why both are important (37:52)
• Advice on the importance of data quality (42:10)
• Final takeaways and wrap-up (50:49)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Max’s career journey (2:54)
• Going from a small startup to a big enterprise (11:15)
• Dynamics of a switchboard operator (17:09)
• Common threads through different companies (20:53)
• When data is not the answer (26:57)
• The evolution of CDP (29:38)
• Data sources to include in a CDP (35:16)
• Working with event data (37:19)
• Max’s take on other tools (41:18)
• The cutting edge in data (43:09)
• Building your data company in an evolving environment (49:28)

Find Max: https://www.obsessiveanalytics.com/

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

.

Highlights from this week’s conversation include:

• Ryan’s background and career journey (2:49)
• Quine and where it came from (4:36)
• Graph databases 101 (7:17)
• Use cases for graph databases (13:44)
• Purposes for graphs (22:27)
• How to use Quine (31:49)
• Quine’s performance and scale (43:06)
• Educating users about a new product (49:13)
• The team that would optimize Quine (52:23)
• When graph will gain popularity (56:15)

Quine: https://quine.io/

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Zander’s background and career journey (2:32)
• Introducing bytewax (5:16)
• The difference between systems (10:57)
• Bytewax’s most common use cases (16:15)
• How bytewax integrates with other systems (20:25)
• The technology that makes up bytewax (24:31)
• Comparing bytewax to other systems (34:17)
• What’s next for bytewax (36:31)

Try it out: bytewax.io

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• Erik’s background and career journey (2:51)
• Managing scale in a rapidly changing environment (6:35)
• The people side of hypergrowth (12:36)
• Coding competitions (17:50)
• Introducing Modal Labs (19:02)
• How Erik got into building Modal (21:45)
• The employee experience at Modal (28:09)
• How a data engineering team would use Modal (31:21)
• What it takes to build a platform like Modal (36:27)
• What makes Modal different (42:49)
• Evolution coming for the data world (45:52)
• Untapped areas in the data world (48:46)
• Spotify playlists (52:03)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

.

Highlights from this week’s conversation include:

• Shinji’s background and career journey (3:35)
• Defining “data discovery” (6:03)
• The best conditions to use Select Star (8:45)
• Where Select Star fits on the data spectrum (13:38)
• Why Select Star is needed (17:35)
• How Select Star uses metadata (21:02)
• Exposing data queries (27:04)
• Composing queries into metadata (33:27)
• Automating BI tools (37:28)
• Limits to data governance (41:39)
• Maintaining economies of scale (48:56)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Highlights from this week’s conversation include:

• The context of Headless BI (3:31)
• What Cube Dev does (9:24)
• How Headless BI works with other tools (13:03)
• An analysis of LookML (18:04)
• User interaction with Cube Dev (23:40)
• Who manages data artifacts (25:22)
• Taking care of the developer experience (30:37)
• Levels of performance (30:37)
• Artyom and Pavel’s background and career journey (35:47)
• Why you should use Cube Dev (43:38)
• Roles within a data organization (48:55)
• How Cube Dev impacts visualization (53:35)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

.