Coffee with Coalesce

In the final episode of Coffee with Coalesce for 2024, we travel to Europe to chat with David Richert, SAP Modernization Evangelist and Principal Sales Engineer at Snowflake, and Edwin Commandeur, Principal Field Product Manager (SAP) at Fivetran, about the challenges and innovations in data management and migration, particularly in the context of SAP systems.

Hosted by Damien Walker and Glen Dawson, the conversation explores the benefits of shifting from application-centric to data-centric approaches to data management and highlights strategies for overcoming technical and organizational barriers in SAP migrations.

Key topics include:

• Transitioning from application-centric to data-centric models: The shift to modern data platforms like Snowflake highlights the need to rethink data architectures.
• End-to-end data integration: The challenges in unifying SAP and non-SAP data underscores the importance of platforms like Fivetran in data modernization initiatives.
• Navigating SAP end-of-life decisions: Key considerations for organizations that face critical decisions as they approach end-of-life deadlines for certain SAP platforms.
• SAP migrations and cloud adoption: The benefits of moving SAP systems to the cloud and recommendations for addressing the challenges of legacy systems with modern, scalable solutions.

Watch the video recording of this podcast episode here.

Resources:

Power SAP data transformations at scale

Demo: Integrating SAP Data Into SnowflakeWith Fivetran, Coalesce and phData

Coalesce

Snowflake

Fivetran

Connect with the speakers:

David Richert

Edwin Commandeur

Damien Walker

Glen Dawson

In this episode of Coffee with Coalesce, Hugo Lu, CEO and founder of Orchestra, joins hosts Armon Petrossian and Satish Jayanthi to share the company’s founding story, discuss the challenges of building and selling an orchestration platform in an already crowded data space, his predictions on the main trends in data for 2025, and more. Listen to the full episode to find out more about:

• Orchestra’s founding story
• Challenges in data orchestration
• The importance of data governance
• Enabling a successful data mesh implementation
• Navigating a crowded data space
• Is column-level lineage really necessary?
• Inspiration from business leaders, and more.

Watch the video recording of this podcast episode here.

Resources:

• About Orchestra
• About Coalesce
• Coalesce podcast
• Announcing Orchestra's Integration with Coalesce
• Data Orchestration is Evolving

In this episode of Coffee with Coalesce, Cube co-founders Artyom Keydunov and Pavel Tiunov discuss their journey with Cube, from starting out as a side project to a successful company that recently raised its Series B funding rou

nd. The discussion touches on Cube’s founding story, innovating the semantic layer with a universal approach, and their data management strategy. Listen to the full episode for more on:

• Cube’s founding story: The company’s origins as an open-source project focused on embedding BI tools into Slack, eventually pivoting to creating a universal semantic layer.
• Semantic layer innovation: The importance of a universal semantic layer for ensuring consistent metrics across different BI tools.
• Cube’s latest product features, including next-gen data modeling, AI-powered capabilities, and more.
• Predictions and top industry trends in 2025: AI will play a growing role in data engineering, especially with data modeling and optimizing data queries; consolidation within the Modern Data Stack, the evolution of AI-powered tools in analytics, and more.

Hosted by Coalesce co-founders Armon Petrossian and Satish Jayanthi.

Resources:

• About Cube: https://cube.dev/
• About Coalesce: https://coalesce.io/
• Article: Achieve Data Maturity with an Integrated Semantic Layer
• News: Coalesce and Cube Partner to Bring a Universal Semantic Layer to Data Pipeline Development

Connect with our hosts:

• Armon Petrossian
• Satish Jayanthi

Connect with this episode's guests:

• Artyom Keydunov
• Pavel Tiunov

In this episode of Coffee with Coalesce, Taylor Brown, COO and co-founder of Fivetran, shares the origin story of the company and how Fivetran has helped pioneer the Modern Data Stack. Taylor dives into the challenges of building Fivetran, the company’s mission to make data as accessible and reliable as electricity, and the impact of their innovations on the data industry.

In this episode:

• The origin of Fivetran and its mission to simplify data ingestions
• The origin of the Modern Data Stack
• Data accessibility and infrastructure innovation
• Fivetran’s hybrid deployment model
• Scaling management structures as a co-founder
• The future of data lakes and open file formats, and more

Hosted by Coalesce co-founders Armon Petrossian and Satish Jayanthi.

We’re excited to welcome Una Galyeva, Data & AI Consultant with Honest Data and AI Consulting, to chat about data mesh.

Topics covered in this episode include the reality of data mesh implementations vs the theoretical concepts, use cases where implementing data mesh makes sense, assembling the right team for a successful transition to a data mesh structure, and more.

Hosted by Coalesce co-founders Armon Petrossian and Satish Jayanthi.

In the latest episode of our data podcast, we welcome Rob Woollen, Co-founder and CTO of Sigma Computing, to chat about the future of BI, the journey of developing Sigma, finding product market fit, and the company’s success. In this episode you'll hear Rob's take on:

• the future of spreadsheets and SQL
• addressing the largest bottlenecks in analytics use cases
• the impact of Gen AI and LLMs on BI
• challenges in AI interface design
• the potential of AI for productivity, and more.

In this episode of the Coffee with Coalesce podcast, we chat with Gu Xie, Head of Data Engineering at Group 1001, about the secret to building highly performant data engineering teams. Hint: It’s not about finding super-talented, highly-skilled professionals that are 10x more productive than their peers. Rather, it’s about enabling developer velocity: creating an environment where every engineer can be highly productive, and enabling them with the tools and platforms that are pivotal to that productivity.

Tune in to hear more and bring your questions for our guest and hosts, Coalesce co-founders Armon Petrossian and Satish Jayanthi.

Watch a video recording of this episode: https://coalesce.io/podcast/ep-16-the-10x-data-engineer-with-gu-xie/

Watch recordings of past episodes: https://coalesce.io/podcast/

Hear from our customers, see product demos, and more: https://coalesce.io/videos/

Learn more about Coalesce: https://coalesce.io/

In this episode of Coffee with Coalesce, we chat with Joe Floyd, General Partner at Emergence Capital, and Saad Siddiqui, General Partner at Telstra Ventures. Venture capital plays a pivotal role in guiding new companies and technologies to market, and our guests have had a first-row seat to the fast and furious growth and innovation happening in the industry over the past decade.

Ten years ago hardly anyone had heard of Snowflake. Just two years ago, LLMs were an obscure acronym known only to those deeply immersed in AI and ML. Today, it seems like AI is everywhere. What will tomorrow bring? What do VCs look for when investing in early-stage startups in the data and AI field. What are some markers of success? What are some red flags? Listen to the podcast episode to find out.

We’re excited to welcome Kashish Gupta, co-founder and co-CEO of Hightouch, the number-one composable customer data platform (CDP) that is revolutionizing the way marketers activate their data. From semantic layers to taking advantage of cloud-native data warehouse architectures, tune in and bring your questions for our guest and hosts, Coalesce co-founders Armon Petrossian and Satish Jayanthi.

We’re excited to welcome John Cosgrove and Kent Graziano to tackle the age-old topics of data management and data modeling in the new age of AI and LLMs. How can you get onboard the AI hype train and not end up in a train wreck? What if setting yourself up for success in the future depends more than ever on “old” ideas like hierarchies, semantics, models, taxonomies… in short, structure? Tune in to hear more and bring your questions for our guests and hosts, Coalesce co-founders Armon Petrossian and Satish Jayanthi.

We’re excited to welcome Lior Gavish, CTO and Co-founder of data observability company Monte Carlo, as we kick off the new year with the topic on everyone’s mind: Generative AI. If 2023 was the year of gen AI talk, are organizations ready to walk the walk in 2024? And if the answer is “not yet” or “maybe?” – What can data leaders and teams do to set up their business with the proper foundation for success? Listen to the full episode to find out.

What do twinkies, weight loss, and LLMs have in common? Data may just have something to do with it. For our last podcast episode of 2023, we sit down with Felipe Hoffa, Data Cloud Advocate at Snowflake, to chat about his favorite and most memorable data trends and developments of the year. Listen to the full episode to find out which topics made the cut!

Success for a data team today goes beyond technical expertise and a best-of-breed data stack; it hinges on the understanding and support of the C-Suite. In this Coffee with Coalesce episode, we’re excited to host two accomplished data leaders and executives who have mastered this art.

Matthew Tischler, Chief Financial Officer of e-retailer RuffleButts and Michael Tantrum, National Sales Director at Resultant, join Coalesce co-founders Armon Petrossian and Satish Jayanthi to unravel the secrets of effectively communicating with top-level executives, gaining their buy-in, and ultimately ensuring a data team’s efforts are not just understood, but genuinely appreciated and championed by the C-Suite.

We’re extremely excited to welcome Bob Muglia to Coffee with Coalesce. The former Microsoft exec and Snowflake CEO doesn’t need an introduction in the data community: a legendary leader whose work has shaped our industry, Muglia joins us to talk about his new book, The Datapreneurs. Hosted by Coalesce co-founders Armon Petrossian and Satish Jayanthi, and Coalesce advisor Kent Graziano.Watch the full episode to hear Muglia and Graziano's take on:

• how AI and LLMs will change the Modern Data Stack

• how AI and LLMs will change data engineering

• the future of SQL and knowledge graphs

• Muglia's "you heard it here first" take on Data Mesh

• and much more!

About Coalesce:Founded in 2020, Coalesce is the only data transformation platform built for scale. Coalesce combines the speed of an intuitive graphical user interface (GUI), the flexibility of code, and the efficiency of automation, empowering its customers with increased data team productivity and insights. Based in San Francisco, Calif., Coalesce is backed by Emergence Capital, 11.2 Capital, GreatPoint Ventures, and Industry Ventures and supports customers worldwide. Learn more at Coalesce.io. Get a demo: https://coalesce.io/request-demo/Start free: https://coalesce.io/start-free/

• Top use cases for leveraging Generative AI in data
• The 80-20 approach for integrating Generative AI into your data workflows
• Risks and concerns
• How will Generative AI impact roles and careers within data teams?
• Are analytics jobs at risk?

• What is DataOps and how is it similar to–and different from–DevOps and MLOps?
• What problems does DataOps solve?
• What are the biggest pitfalls of DataOps?
• How can data teams set themselves up for success within the larger organization and bring value to the business?

• Top expectations for data engineering teams in 2023, including how to measure the ROI of the team
• Build vs buy data platforms and solutions: rethinking decisions in today’s economy
• The cost of compute vs the cost of people: which one matters more?
• Will 2023 finally be the year of data quality?
• How are data teams changing in today’s economy
• ChatGPT: will it impact data engineers?

We kicked off 2023 with a discussion on data engineering careers with two of the best known names in the field, Joe Reis and Matt Housley, authors of the best-selling book “Fundamentals of Data Engineering” (O’Reilly, 2022). Watch the full episode to learn:

• What are the biggest challenges facing data engineering teams?

• What parts of the analytics workflow is most challenging for organizations?

• What are the characteristics of a great data leader?

• Is today’s economy the catalyst the market needed to evolve and innovate?

• What is a data engineer’s role in AI?

About Coalesce:Founded in 2020, Coalesce is the only data transformation platform built for scale. Coalesce combines the speed of an intuitive graphical user interface (GUI), the flexibility of code, and the efficiency of automation, empowering its customers with increased data team productivity and insights. Based in San Francisco, Calif., Coalesce is backed by Emergence Capital, 11.2 Capital, GreatPoint Ventures, and Industry Ventures and supports customers worldwide. Learn more at Coalesce.io. Get a demo: https://coalesce.io/request-demo/Start free: https://coalesce.io/start-free/

We’re talking data engineering trends (and busts) with Chad Sanderson, head of data at Convoy. From data contracts and data mesh, to AI/ML and data governance and quality, we explore the main topics and pain points impacting your work today, and our predictions for 2023. Hosted by Coalesce CEO Armon Petrossian and CTO Satish Jayanthi.Watch the full episode to learn:

• What are data contracts: key definitions

• Why data and infrastructure problems inspired the idea for data contracts

• How data contracts help enforce data governance

• How data contracts differ from APIs

• When are data contracts most effective

• How data contracts relate to data mesh

• How to effectively apply data contracts to data modeling

• How data contracts can help remove the biggest bottleneck in businesses deriving true value from AI/ML

About Coalesce:Founded in 2020, Coalesce is the only data transformation platform built for scale. Coalesce combines the speed of an intuitive graphical user interface (GUI), the flexibility of code, and the efficiency of automation, empowering its customers with increased data team productivity and insights. Based in San Francisco, Calif., Coalesce is backed by Emergence Capital, 11.2 Capital, GreatPoint Ventures, and Industry Ventures and supports customers worldwide. Learn more at Coalesce.io. Get a demo: https://coalesce.io/request-demo/Start free: https://coalesce.io/start-free/