Catalog and Cocktails is an honest, no-BS, non-sales-y conversation about data and analytics. This is your unfiltered chat about everything interesting in data and metadata management, DataOps, architecture, and beyond. Join Juan Sequeda and Tim Gasper to explore emerging topics and hear from visionary leaders across the data space.
The podcast Catalog & Cocktails: The Honest, No-BS Data Podcast is created by data.world. The podcast and the artwork on this page are embedded on this page using the public podcast feed (RSS).
Fresh from the TED conference, Tim Gasper and Juan Sequeda share the most thought-provoking ideas that caught their attention: What are you most excited about in the world of AI? What are you concerned about? How do you find a balance?
Data teams often emerge from executive FOMO – chasing AI trends or vague "data-driven" aspirations, but Blake Burch, AI & Data Leader, reveals most remain stuck in setup mode, creating dashboards nobody uses. Team members rarely understand how their work impacts business outcomes, leading to data graveyards instead of value, with success measured by vibes rather than revenue. Join us as Blake proposes embedding data experts within business units, developing "full-stack" practitioners, and designing initiatives that begin with clear business actions. Is it time to rethink your data team? Pour yourself a strong one – this conversation might sting.
Data teams often emerge from executive FOMO – chasing AI trends or vague "data-driven" aspirations, but Blake Burch, AI & Data Leader, reveals most remain stuck in setup mode, creating dashboards nobody uses. Team members rarely understand how their work impacts business outcomes, leading to data graveyards instead of value, with success measured by vibes rather than revenue. Join us as Blake proposes embedding data experts within business units, developing "full-stack" practitioners, and designing initiatives that begin with clear business actions. Is it time to rethink your data team? Pour yourself a strong one – this conversation might sting.Data teams often emerge from executive FOMO – chasing AI trends or vague "data-driven" aspirations, but Blake Burch reveals most remain stuck in setup mode, creating dashboards nobody uses. Team members rarely understand how their work impacts business outcomes, leading to data graveyards instead of value, with success measured by vibes rather than revenue. Join us as Blake proposes embedding data experts within business units, developing "full-stack" practitioners, and designing initiatives that begin with clear business actions. Is it time to rethink your data team? Pour yourself a strong one – this conversation might sting.
Hugo Bowne-Anderson, Independent Data & AI Scientist, joins us to tackle why most AI applications fail to make it past the demo stage. We'll explore his concept of Evaluation-Driven Development (EDD) and how treating evaluation as a continuous process—not just a final step—can help teams escape "Proof-of-Concept Purgatory." How can we build AI applications that remain reliable and adaptable over time? What shifts are happening as boundaries between data, ML, and product development collapse? From practical testing approaches to monitoring strategies, this episode offers essential insights for anyone looking to create AI applications that deliver genuine business value beyond the initial excitement.
Hugo Bowne-Anderson, Independent Data & AI Scientist, joins us to tackle why most AI applications fail to make it past the demo stage. We'll explore his concept of Evaluation-Driven Development (EDD) and how treating evaluation as a continuous process—not just a final step—can help teams escape "Proof-of-Concept Purgatory." How can we build AI applications that remain reliable and adaptable over time? What shifts are happening as boundaries between data, ML, and product development collapse? From practical testing approaches to monitoring strategies, this episode offers essential insights for anyone looking to create AI applications that deliver genuine business value beyond the initial excitement.
Hala Nelson, Professor of Mathematics and Author of "Essential Math for AI", explores how digital twin technology and AI deployments are reshaping organizational systems while challenging conventional wisdom. We will also discuss establishing a new "standard of care" in human-centered engineering and examine how these technological shifts are transforming the workforce. Join us as we untangle real-world AI implementation strategies that prioritize both technological innovation and human experience.
Hala Nelson, Professor of Mathematics and Author of "Essential Math for AI", explores how digital twin technology and AI deployments are reshaping organizational systems while challenging conventional wisdom. We will also discuss establishing a new "standard of care" in human-centered engineering and examine how these technological shifts are transforming the workforce. Join us as we untangle real-world AI implementation strategies that prioritize both technological innovation and human experience.
Patrick Cuba, Snowflake Architect, explores the fundamental connections between Data Modeling, Data Vault, and Knowledge Graphs—revealing how these approaches all center on the same core elements: business entities, their relationships, and their historical states. Patrick unpacks why, despite the AI revolution, human expertise remains irreplaceable for accountability and real business value. If you're wrestling with cognitive overload in the face of data explosion or wondering how different modeling disciplines can complement each other, this episode delivers the practical insights you need.
Patrick Cuba, Snowflake Architect, explores the fundamental connections between Data Modeling, Data Vault, and Knowledge Graphs—revealing how these approaches all center on the same core elements: business entities, their relationships, and their historical states. Patrick unpacks why, despite the AI revolution, human expertise remains irreplaceable for accountability and real business value. If you're wrestling with cognitive overload in the face of data explosion or wondering how different modeling disciplines can complement each other, this episode delivers the practical insights you need.
Tim and Juan meet in person with Jean-Georges Perrin for a longer-than-usual episode. Together, they unpack the real meaning behind data contracts, explaining how these agreements serve as the backbone for successful data products and the practical framework for data mesh implementation. If you want to cut through all the jargon and buzzwords and get to an Honest, No-BS discussion, this is the episode for you!
Tim and Juan meet in person with Jean-Georges Perrin for a longer-than-usual episode. Together, they unpack the real meaning behind data contracts, explaining how these agreements serve as the backbone for successful data products and the practical framework for data mesh implementation. If you want to cut through all the jargon and buzzwords and get to an Honest, No-BS discussion, this is the episode for you!
Frances O'Rafferty, Senior Manager at Baringa, explore sthe critical gap between data-driven aspirations and decision-making reality. While many organizations claim to be "data-driven," leaders often revert to gut instinct when making crucial decisions. We'll examine how fragmented data experiences erode confidence and how a user-centric approach that brings together data, metadata, quality metrics, and lineage in one place can build the foundation of trust necessary for truly data-driven decision making. Frances shares practical insights on creating holistic data experiences that empower everyone across the organization to trust in their data and make confident, fact-based decisions.
Frances O'Rafferty, Senior Manager at Baringa, explore sthe critical gap between data-driven aspirations and decision-making reality. While many organizations claim to be "data-driven," leaders often revert to gut instinct when making crucial decisions. We'll examine how fragmented data experiences erode confidence and how a user-centric approach that brings together data, metadata, quality metrics, and lineage in one place can build the foundation of trust necessary for truly data-driven decision making. Frances shares practical insights on creating holistic data experiences that empower everyone across the organization to trust in their data and make confident, fact-based decisions.
Join Juan and Tim as they welcome special guests Krystin Kim (VP of Data & Analytics at Post Holdings) and Mary Lou Pirrera (Senior Manager of Data Management and Governance at The Campbell's Company) fresh from their panel at the Gartner Data & Analytics Summit 2025. They'll have an Honest, No-BS discussion on making data catalog and governance work in the real world while sharing key themes and actionable insights from one of the year's most influential data conferences.
Fresh from their travels meeting data leaders across industries, Tim Gasper and Juan Sequeda share the six most compelling data trends they've encountered in the field. In this special episode, our hosts cut through the hype to reveal what's actually happening on the ground - from how companies are really using AI to surprising shifts in data governance. Join them for an insider's look at what's shaping enterprise data strategies right now, straight from their conversations with practitioners and executives.
What if data governance could be as natural as safety culture at an energy company? Data Governance Enthusiast Winfried Etzel challenges traditional notions of governance for the AI age, proposing a fresh framework through three crucial lenses: Data Negotiator, Director, and Accountant. Join us for a thought-provoking discussion about moving beyond compliance to build a culture where every data professional becomes a governance champion.
What if data governance could be as natural as safety culture at an energy company? Data Governance Enthusiast Winfried Etzel challenges traditional notions of governance for the AI age, proposing a fresh framework through three crucial lenses: Data Negotiator, Director, and Accountant. Join us for a thought-provoking discussion about moving beyond compliance to build a culture where every data professional becomes a governance champion.
Alexander Torrenegra, CEO of Torre.ai, reveals how data governance can be transformed from a constraint into competitive advantage. From his early days revolutionizing voice actor casting to now building AI recruitment solutions, Torrenegra shares candid insights on why true AI value lies not in copilots but in full pilots, and why transparency might surpass privacy. Pour yourself a drink and join Juan and Tim for an honest, no-BS conversation about the intersection of AI, data governance, and the future of recruitment.
Alexander Torrenegra, CEO of Torre.ai, reveals how data governance can be transformed from a constraint into competitive advantage. From his early days revolutionizing voice actor casting to now building AI recruitment solutions, Torrenegra shares candid insights on why true AI value lies not in copilots but in full pilots, and why transparency might surpass privacy. Pour yourself a drink and join Juan and Tim for an honest, no-BS conversation about the intersection of AI, data governance, and the future of recruitment.
If an enterprise wants to be data or AI-driven, they can't skip the basics. Tim and Juan chat with Data Management Practitioner Olga Maydanchik about these essential foundations, including creating an Enterprise Business Glossary, building Data Quality Management processes, and other fundamental tasks that underpin successful AI initiatives.
If an enterprise wants to be Data or AI-driven, they can't skip the basics. Tim and Juan chat with Data Management Practitioner Olga Maydanchik about these essential foundations, including creating an Enterprise Business Glossary, building Data Quality Management processes, and other fundamental tasks that underpin successful AI initiatives.
Too many companies get caught up in the latest tools and technical details of managing their data. But what if they're missing the bigger picture? Pull up a chair as Lindsay Murphy chats with Tim and Juan about what happens when data teams break out of the technical box and become key players in business success. Discover why data isn't just about building systems – it's about making better decisions and driving your business forward.
Too many companies get caught up in the latest tools and technical details of managing their data. But what if they're missing the bigger picture? Pull up a chair as Lindsay Murphy chats with Tim and Juan about what happens when data teams break out of the technical box and become key players in business success. Discover why data isn't just about building systems – it's about making better decisions and driving your business forward.
Join Tim and Juan in the Season 9 premiere of Catalog & Cocktails as they welcome Jordan Morrow, renowned author of "Be Data Literate" and "Business 101 for the Data Professional." Discover how anyone can develop essential data, AI, and business literacy skills in today's rapidly evolving landscape. Jordan shares practical insights on staying focused and making meaningful progress in your data journey, drawing from his extensive experience helping professionals bridge the gap between technical expertise and business acumen.
Join Tim and Juan in the Season 9 premiere of Catalog & Cocktails as they welcome Jordan Morrow, renowned author of "Be Data Literate" and "Business 101 for the Data Professional." Discover how anyone can develop essential data, AI, and business literacy skills in today's rapidly evolving landscape. Jordan shares practical insights on staying focused and making meaningful progress in your data journey, drawing from his extensive experience helping professionals bridge the gap between technical expertise and business acumen.
As Season 8 of Catalog & Cocktails comes to a close, Tim and Juan reflect on the conversations, breakthroughs, and trends that shaped the past episodes. From unraveling the complexities of data quality to exploring the future of AI, this recap dives into the standout moments, key lessons, and recurring themes from our incredible guests. Tune in for an honest, no-BS discussion on what we’ve learned this season—and a sneak peek at what’s coming next!
Tim and Juan are live from DGIQ + AIGov with their Honest, No-BS takeaways on the latest topics. Is it the same old story, or is there something new to pay attention to? What’s actually working? What’s worth keeping an eye on? And what are the standout success stories? Tune in this week to find out!
What’s the next big concept in the data world? Meet the Meta Grid—a decentralized architecture inspired by microservices and data mesh, introduced by Ole Olesen-Bagneux, O’Reilly author of The Enterprise Data Catalog. Spoiler: the Meta Grid already exists within your organization, and it’s not a technology! In this episode, Ole joins us to unpack what the Meta Grid really is (and isn’t) and why it’s poised to transform the way we think about enterprise data.
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What’s the next big concept in the data world? Meet the Meta Grid—a decentralized architecture inspired by microservices and data mesh, introduced by Ole Olesen-Bagneux, O’Reilly author of The Enterprise Data Catalog. Spoiler: the Meta Grid already exists within your organization, and it’s not a technology! In this episode, Ole joins us to unpack what the Meta Grid really is (and isn’t) and why it’s poised to transform the way we think about enterprise data.
Why does data governance seem like all talk and no action? In this episode, Nicola Askham, The Data Governance Coach, joins us to break down the barriers to effective data governance. Learn why it’s essential for AI readiness, how to make the case for it in your organization, and practical steps to get started—even with just a spreadsheet. Tune in for honest, actionable advice on turning talk into tangible results.
Enhance your listening experience with C&C Chat at data.world/podcasts
Why does data governance seem like all talk and no action? In this episode, Nicola Askham, The Data Governance Coach, joins us to break down the barriers to effective data governance. Learn why it’s essential for AI readiness, how to make the case for it in your organization, and practical steps to get started—even with just a spreadsheet. Tune in for honest, actionable advice on turning talk into tangible results.
Enhance your listening experience with C&C Chat at data.world/podcasts
Ethan Mollick, Associate Professor at the Wharton School of the University of Pennsylvania, dives into how we can shape the future of AI. Ethan explores why organizations need to rethink their approach to AI adoption, the importance of disciplined experimentation, and how imagination—not just technology—will unlock AI’s true potential. From understanding the psychology of LLMs to embracing R&D as an everyday practice, Ethan shares practical advice for making AI work for you, not the other way around.
Enhance your listening experience with C&C Chat at data.world/podcasts
Ethan Mollick, Associate Professor at the Wharton School of the University of Pennsylvania, dives into how we can shape the future of AI. Ethan explores why organizations need to rethink their approach to AI adoption, the importance of disciplined experimentation, and how imagination—not just technology—will unlock AI’s true potential. From understanding the psychology of LLMs to embracing R&D as an everyday practice, Ethan shares practical advice for making AI work for you, not the other way around.
Enhance your listening experience with C&C Chat at data.world/podcasts
The data world is buzzing about open table formats and lakehouses, but what's the real story? Vinoth Chandar, founder & CEO of Onehouse, creator of Apache Hudi, unpacks the challenges of data siloes and vendor lock-in, and explains how open table formats are the key to unlocking true data flexibility and collaboration.
Enhance your listening experience with C&C Chat at data.world/podcasts
The data world is buzzing about open table formats and lakehouses, but what's the real story? Vinoth Chandar, founder & CEO of Onehouse, creator of Apache Hudi, unpacks the challenges of data siloes and vendor lock-in, and explains how open table formats are the key to unlocking true data flexibility and collaboration.
Enhance your listening experience with C&C Chat at data.world/podcasts
Malcolm Hawker, Chief Data Officer at Profisee and host of CDO Matters Podcast, recently sparked a heated discussion on LinkedIn about where data catalogs are heading. His view? Data catalogs today are being commoditized and we need to pivot from data management to knowledge management. Join Malcolm, Tim, and Juan as they break down this debate and explore what other data professionals had to say about this shift in thinking.
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Andrea Gioia, CTO at Quantyca and Co-founder of Blindata, shares his insights on the real issues holding back data management. Spoiler: It's not the technology. Andrea discusses how the biggest challenges stem from people, collaboration, and the ways we handle knowledge. As AI continues to evolve, poor data management becomes an even bigger obstacle, making it clear that prioritizing knowledge management is more urgent than ever.
Enhance your listening experience with C&C Chat at data.world/podcasts
Andrea Gioia, CTO at Quantyca and Co-founder of Blindata, shares his insights on the real issues holding back data management. Spoiler: It's not the technology. Andrea discusses how the biggest challenges stem from people, collaboration, and the ways we handle knowledge. As AI continues to evolve, poor data management becomes an even bigger obstacle, making it clear that prioritizing knowledge management is more urgent than ever.
Enhance your listening experience with C&C Chat at data.world/podcasts
Can data alone solve your business problems? Colleen Tartow, Ph.D., Field CTO and Head of Strategy at VAST Data, doesn’t think so. In this episode, we explore why it’s crucial to focus on business questions and deliver reliable, high-quality data products. We’ll also break down how to avoid the tech hype and ensure your data strategy is aligned with real business needs. Join us for a candid discussion on data, AI maturity, and finding the true value behind your data initiatives.
Enhance your listening experience with C&C Chat at data.world/podcasts
Can data alone solve your business problems? Colleen Tartow, Ph.D., Field CTO and Head of Strategy at VAST Data, doesn’t think so. In this episode, we explore why it’s crucial to focus on business questions and deliver reliable, high-quality data products. We’ll also break down how to avoid the tech hype and ensure your data strategy is aligned with real business needs. Join us for a candid discussion on data, AI maturity, and finding the true value behind your data initiatives.
Enhance your listening experience at data.world/podcasts
How can active metadata transform the way organizations manage and utilize data? In this episode, Mike Evans, Chief Innovation Officer at Amplifi, explores the often untapped potential of metadata to reveal insights from data usage patterns, optimize data ecosystems, and focus initiatives on what truly drives value.
Enhance your listening experience with C&C Chat at data.world/podcasts
How can active metadata transform the way organizations manage and utilize data? In this episode, Mike Evans, Chief Innovation Officer at Amplifi, explores the often untapped potential of metadata to reveal insights from data usage patterns, optimize data ecosystems, and focus initiatives on what truly drives value.
Enhance your listening experience with C&C Chat at data.world/podcasts
What is the vital role of data quality in the world of GenAI? With data trust at an all-time high, Kevin Hu, CEO & Co-Founder of Metaplane, shares how businesses can prevent data mishaps and maintain the reliability needed for AI success. Is the hype around GenAI just a continuation of data trends from BI to ML, or does it demand a new approach? Find out in this week’s episode.
Enhance your listening experience with C&C Chat at data.world/podcasts
What is the vital role of data quality in the world of GenAI? With data trust at an all-time high, Kevin Hu, CEO & Co-Founder of Metaplane, shares how businesses can prevent data mishaps and maintain the reliability needed for AI success. Is the hype around GenAI just a continuation of data trends from BI to ML, or does it demand a new approach? Find out in this week’s episode.
Enhance your listening experience with C&C Chat at data.world/podcasts
Dael Williamson, EMEA CTO at Databricks, joins us to reveal how interoperability is the key to unlocking expertise, exchanges, and ecosystems. Tune in for an honest, no-BS conversation on navigating the complexities of data ecosystems—and how standardization, context, and interoperability can be leveraged to tackle organizational challenges.
Enhance your listening experience with C&C Chat at data.world/podcasts
Dael Williamson, EMEA CTO at Databricks, joins us to reveal how interoperability is the key to unlocking expertise, exchanges, and ecosystems. Tune in for an honest, no-BS conversation on navigating the complexities of data ecosystems—and how standardization, context, and interoperability can be leveraged to tackle organizational challenges.
Enhance your listening experience with C&C Chat at data.world/podcasts
Responsible AI, what is it and who is responsible when it comes to AI? Mariam Halfhide, Responsible AI Expert at Xebia and former C&C guest, is here to discuss the answers with Tim and Juan on this week's episode.
Enhance your listening experience with C&C Chat at data.world/podcasts
Responsible AI, what is it and who is responsible when it comes to AI? Mariam Halfhide, Responsible AI Expert at Xebia and former C&C guest, is here to discuss the answers with Tim and Juan on this week's episode.
Amalia Child, Data Manager and Librarian, joins us to explore how librarians have evolved in the digital age—trading shelves of books for data repositories. We’ll discuss her post “The Five Laws of Data Enablement: How the father of library science would make his data team indispensable” and why library science is essential in data organizations.
Amalia Child, Data Manager and Librarian, joins us to explore how librarians have evolved in the digital age—trading shelves of books for data repositories. We’ll discuss her post “The Five Laws of Data Enablement: How the father of library science would make his data team indispensable” and why library science is essential in data organizations.
How can we create a more inclusive workplace and data infrastructure? Dawn Carter, Enterprise Data Architect at BAE Systems, joins us this week to explore the intersection of diversity, inclusion, and data management. Together, we'll discuss actionable strategies for integrating these principles into change management and driving meaningful transformation in the data world.
How can we create a more inclusive workplace and data infrastructure? Dawn Carter, Enterprise Data Architect at BAE Systems, joins us this week to explore the intersection of diversity, inclusion, and data management. Together, we'll discuss actionable strategies for integrating these principles into change management and driving meaningful transformation in the data world.
What does it mean to humanize data strategy? Tiankai Feng, Data Strategy & Governance Lead at Thoughtworks Europe and author of Humanizing Data Strategy, stops by to discuss the often-overlooked human side of technology and why it's crucial for data strategy & governance. While many companies struggle to prioritize the people aspect in their tech initiatives, Tiankai has a solution with the 5 C's - Competency, Collaboration, Creativity, Communication, and Conscience.
What does it mean to humanize data strategy? Tiankai Feng, Data Strategy & Governance Lead at Thoughtworks Europe and author of Humanizing Data Strategy, stops by to discuss the often-overlooked human side of technology and why it's crucial for data strategy & governance. While many companies struggle to prioritize the people aspect in their tech initiatives, Tiankai has a solution with the 5 C's - Competency, Collaboration, Creativity, Communication, and Conscience.
Anna Bergevin, Sr. Product Manager at ResMed, brings her honest no-bs takes about data product management work and who should be doing it. We will discuss her path into data product management and how she is using AI to be productive and try new things!
Anna Bergevin, Sr. Product Manager at ResMed, brings her honest no-bs takes about data product management work and who should be doing it. We will discuss her path into data product management and how she is using AI to be productive and try new things!
Thanks to all Catalog & Cocktails #honestnobs data podcast listeners who have been following us for 4 years. Tim and Juan are going to take a break for a few weeks to brainstorm what’s next, and we would appreciate your honest no-bs feedback! We would love your input:
- What new topics should we cover?
- What topics should we dive into?
- Should we have a new format (e.g panel, debates)?
- Who would you like to see as a guest?
Reach out to us on LinkedIn or email [email protected] to share your feedback!
AI Ops is a new and upcoming role focused on understanding and improving the business process by using AI. In this episode, Brandon Gadoci, VP of AI Ops at data.world shares his experience on how to get started and what are the opportunities for the business.
AI Ops is a new and upcoming role focused on understanding and improving the business process by using AI. In this episode, Brandon Gadoci, VP of AI Ops at data.world shares his experience on how to get started and what are the opportunities for the business.
We can’t believe it’s been 4 years since the start of Catalog & Cocktails! In this episode, Tim and Juan will reminisce on 4 years of the podcast, reflect on developments in the data world, and share takeaways from Gartner Data & Analytics Summit in London. We'll also close with tips for those looking to start their own podcast.
Knowledge Graphs are gaining more and more attention due to their role of structuring data and knowledge and providing accuracy for LLMs through GraphRAG. In this episode, we are joined by Ora Lassila, one of the “fathers” of RDF graphs and semantic web, which are the foundations for modern knowledge graphs, where we will dive into the questions you’ve always wanted to ask but haven’t.
Knowledge Graphs are gaining more and more attention due to their role of structuring data and knowledge and providing accuracy for LLMs through GraphRAG. In this episode, we are joined by Ora Lassila, one of the “fathers” of RDF graphs and semantic web, which are the foundations for modern knowledge graphs, where we will dive into the questions you’ve always wanted to ask but haven’t.
CDO, CDAO, CAIO, CIO, CTO! Oh my, it's a cluster! Sol Rashidi joins Tim and Juan to help navigate this cluster, sharing honest no bs advice from her vast experience in the Data and AI world. If you are a leader, or a practioner aspiring to go to leadership, this is the must listen episode!
CDO, CDAO, CAIO, CIO, CTO! Oh my, it's a cluster! Sol Rashidi joins Tim and Juan to help navigate this cluster, sharing honest no bs advice from her vast experience in the Data and AI world. If you are a leader, or a practioner aspiring to go to leadership, this is the must listen episode!
When you think about Gen AI applications, one of the first things that comes to mind is Vector Databases as part of the stack. In this episode, Tim and Juan chat with Bob van Luijt, co-founder of Weaviate, to demystify Vector Databases.
When you think about Gen AI applications, one of the first things that comes to mind is Vector Databases as part of the stack. In this episode, Tim and Juan chat with Bob van Luijt, co-founder of Weaviate, to demystify Vector Databases.
Everyone wants to be doing AI and we know that data is at the center. So, how do we become AI Ready? Tim and Juan chat with Peter Kromhout and Mariam Halfhide from Xebia to discuss strategies and techniques to become AI Ready.
Everyone wants to be doing AI and we know that data is at the center. So, how do we become AI Ready? Tim and Juan chat with Peter Kromhout and Mariam Halfhide from Xebia to discuss strategies and techniques to become AI Ready.
Neil Burge has been researching who’s been buying data catalogs and why. His LinkedIn posts are a gold mine for data practitioners, leaders and vendors. In this episode, Tim and Juan chat with Neil to go over his research, learnings and recommendations for the data industry.
Neil Burge has been researching who’s been buying data catalogs and why. His LinkedIn posts are a gold mine for data practitioners, leaders and vendors. In this episode, Tim and Juan chat with Neil to go over his research, learnings and recommendations for the data industry.
Data governance and security may be scary and hard, but with the right solutions in place, data teams can enable the right balance between security and usability to drive their businesses forward!
Data governance and security may be scary and hard, but with the right solutions in place, data teams can enable the right balance between security and usability to drive their businesses forward!
Tim and Juan will be attending Data Council Austin and will be live interviewing anyone who wants to be interviewed! One question: what’s your honest no-bs take of the data world?
Shhh...do you hear that? It's the Data Whisperer. And he's here to tell a story: A data story. He'll disclose some hard-won truths. He'll philosophically approach the idea of truth before meaning. There may even be...data puppets.
Shhh...do you hear that? It's the Data Whisperer. And he's here to tell a story: A data story. He'll disclose some hard-won truths. He'll philosophically approach the idea of truth before meaning. There may even be...data puppets.
What are we hearing at talks and in the hallways at Gartner Data and Analytics 2024? AI is not only the cool kid, Metadata is everywhere. Join us to learn about the latest takeaways from the conference.
Amy works at the cross-section of arguably the most important thing to a business: aligning data strategy with corporate vision. How do you ACTUALLY use data to achieve business goals, and how do you know if you're going in the right direction? Amy stops by to discuss.
You can’t lift and shift your traditional data governance practices to AI governance. AI's unique quirks bring unique governance requirements: understanding its limitations, ensuring fairness, protecting personal and intellectual property rights, and tailoring accuracy to specific use cases.
If you really want to win, you need to take some risks and be the first with something new. But how do you minimize risk? Eva Nahari, Principal at DNX ventures, talks to us about the current genAI investment environment.
Paco Nathan has a career on bridging innovation and open source project on Data and AI to the real world. This episode will be his honest, no-bs take on the impact of open source in the real world. And of course, we will also talk about Knowledge Graphs and LLMs.
A world without AI? Unimaginable. And that's why - so is a world without information architecture, according to Jessica Talisman, information architect at Amazon. Information architecture extends beyond browse menus and UX/UI. We talk about why.
Santona Tuli is the head of data at Upsolver. She's a voice we like to listen to about how data teams assemble: data roles, data culture, the function of data at a company...She stops by Catalog & Cocktails to talk workflows, architecture, and looking at data teams with a 10,000-foot view.
Samia Rahman is the Director of Enterprise Data Strategy and Governance at Seagen. She's a data mesh expert, and she's here to tell us why data mesh often gets mesh-understood. Also - we discuss knowledge graphs, prompt engineering, and whether AI and data governance should be separate.
Jeremiah Owyang is a general partner at Blitzscaling Ventures. His career arc has spanned web, sharing economy, and autonomous/AI technologies. He believes that AI is going to help humanity accomplish many of the big challenges we have for society, from health to learning to work and more. But the way we communicate and measure work will change - radically. What does our AI-future look like? He stops by to discuss.
2023 is coming to a close and so is our season 6 with 20 episodes. Join Tim and Juan where they will provide the takeaway of takeaways for all the episodes of season 6. We will be back in January 2024 and kick off Season 7.
Data contracts are all the rage and it’s about shifting responsibility to the left. What does that actually mean? How do you do that? Do we actually need more technology for it? Who needs to be involved? So many honest no-bs questions and who best to answer them than Andrew Jones, inventor of data contracts.
In this episode we will chat with Doris Lee on how data science started from an exclusive, hi-tech branch, how it's become more accessible over time, and what's still missing. We will also go over the data science market and the role of open source.
Investing in Knowledge Graph provides higher accuracy for LLM-powered question-answering systems. That's the conclusion of the latest research that Juan Sequeda, Dean Allemang and Bryon Jacob have recently presented. In this episode, we will dive into the details of this research and understand why to succeed in this AI world, enterprises must treat the business context and semantics as a first-class citizen.
Data Storytelling is a topic that constantly comes up, but do we really know what it is? And what it isn’t? Who best to have this #honestnobs discussion than Kat Greenbrook, author of the upcoming book The Data Storyteller’s Handbook: How to create business impact using data storytelling.
Data Storytelling is a topic that constantly comes up, but do we really know what it is? And what it isn’t? Who best to have this #honestnobs discussion than Kat Greenbrook, author of the upcoming book The Data Storyteller’s Handbook: How to create business impact using data storytelling.
RAG, Retrieval Augemented Generation, is the term you now constantly hear in conjunction with LLM that provides context. But how does it actually work? And what's the relationship with Vector Databases and Knowledge Graphs? This will be a geeky AI episode with Mike Dillinger.
Technical folks miss the boat and are boring when they talk about the features of data catalog such as glossaries and data lineage to business people. In this episode Krystin Kim will share how a data catalog should be presented to the business: the ultimate place to share ideas across big companies, a treasure trove of use cases for others to discover and make even better, recipes to make amazing things that returns millions in business value.
What's the state of data stewardship today and where is it going? Will data stewards continue to exist? How is this evolving with respect to data products? And what is the impact of AI? All of these questions and more is what Tim and Juan ranted about in this episode.
With the hype of Generative AI, how do we keep focused on the goal of delivering the right valuable and business facing analytics and data use-cases with as low friction and maximum agility as possible? Jon Cooke, founder of Dataception has a lot of honest no-bs thoughts to share!
Takeaways from With the hype of Generative AI, how do we keep focused on
the goal of delivering the right valuable and business facing analytics
and data use-cases with as low friction and maximum agility as
possible? Jon Cooke, founder of Dataception has a lot of honest no-bs
thoughts to share!
Tim and Juan provide an honest no-bs summary of what they observed and learned at Big Data London and the AI Conference in San Francisco. Tune in to get the latest on Data and AI and short interviews from Peter Norvig (Google), Nazneen Rajani (Hugging Face), Fabiana Clemente (YData), Danny Bickson (Visual Layer), Gev Sogomonian (AimStack), Yujian Tang (Zilliz), Patrick McFadin (Datasax) and Ofer Mendelevitch (Vectara)
Live from #meandatastreets of Big Data London, Tim and Juan will be chatting with Chris Tabb on how data teams need to be driving the message on providing the ability to increase the performance of the business across all domains with the use if data.
Tim and Juan will share their latest thoughts about where the budget for data projects are heading.
If data isn't driving results is useless. In this episode, Alexa Westlake will share from her experience on how to define and scale a council, create a culture of joint ownership of metrics, and discuss the relationship between outputs and outcomes.
Sports analytics requires video, scouting textual reports, streaming data, numerical results of games. How can these types of analytics be accomplished? Where does Generative AI fit? Enter the data lakehouse. Ari Kaplan, the real money ball guy, will share his experience with Tim and Juan.
Are you a data leader with a technical data strategy and struggling to connect it with the business? Are you trying to get a “seat at the table” and not succeeding? This episode is for you! Aaron Wilkerson will share his thoughts and learnings with Tim and Juan
Are you a data leader with a technical data strategy and struggling to connect it with the business? Are you trying to get a “seat at the table” and not succeeding? This episode is for you! Aaron Wilkerson will share his thoughts and learnings with Tim and Juan
While Juan is out on PTO he took this time to reflect on all the chatter around AI and Generative AI and it's impact on being able to "talk to your data." Tim also offers his own thoughts on the importance of how this impacts the business.
Have you asked yourself what is the relationship between the exponential growth of data and the environmental and business sustainability goals? Simone Steel, an experienced CDAO, has been asking these questions. This episode is a follow up to her thought provoking presentation at 2023 CDOIQ Conference.
Have you asked yourself what is the relationship between the exponential growth of data and the environmental and business sustainability goals? Simone Steel, an experienced CDAO, has been asking these questions. This episode is a follow up to her thought provoking presentation at 2023 CDOIQ Conference.
Everyone says they want to be a data-driven driven company. To do so, data must be a first class citizen, at the heart of all strategy and reporting to the CEO. Is that really happening at your company? Wendy Turner-Williams will discuss how data is at the center of AI, Ethics, Privacy, Security and more.
Everyone says they want to be a data-driven driven company. To do so, data must be a first class citizen, at the heart of all strategy and reporting to the CEO. Is that really happening at your company? Wendy Turner-Williams will discuss how data is at the center of AI, Ethics, Privacy, Security and more.
How is your data team driving revenue and reducing costs? How is the impact of your data team being measured? All of these business value topics and more will be discussed with Ethan Aaron, CEO of Portable.
How is your data team driving revenue and reducing costs? How is the impact of your data team being measured? All of these business value topics and more will be discussed with Ethan Aaron, CEO of Portable.
Live from CDOIQ, we will joined by Tom Redman, The Data Doc, to discuss what's broken, why we go in circles, and how we can objectively evaluate the data world. Oh, we will also chat about his upcoming book: People and Data
Live from CDOIQ, we will joined by Tom Redman, The Data Doc, to discuss what's broken, why we go in circles, and how we can objectively evaluate the data world. Oh, we will also chat about his upcoming book: People and Data
In this episode, Joe Reis, best-selling author of Fundamentals of Data Engineering explains why data modeling and semantics need to take the center stage for AI to truly succeed.
In this episode, Joe Reis, best-selling author of Fundamentals of Data Engineering explains why data modeling and semantics need to take the center stage for AI to truly succeed.
Tim Gasper and Juan Sequeda debrief after 4 days on-site at Snowflake Summit 2023 in Las Vegas.
Key Takeaways:
In this episode, we delve into the world of change management and its crucial role in the nonprofit sector, particularly concerning data governance.
Our special guest, Aakriti Agrawal from American Express, shares her expertise and insights on the change management process, emphasizing the need for leadership rather than mere management.
Join hosts Juan and Tim for this insightful episode as we explore change management in the nonprofit sector, uncover the power of data governance, and learn strategies to effectively lead change within organizations.
We all need a break sometimes.
Juan is on vacation but he wasn't skipping this week's episode of Catalog & Cocktails.
Join Tim Gasper and Juan Sequeda for this weeks mini-sode.
Are you criminally under leveraging your data?
This week Juan Sequeda and Tim Gasper will be joined by Maddy Want, VP of Data at Fanatics and author of “Precisely: Working with Precision Systems in a World of Data” to discuss digital transformations stories from her book.
Join this weeks episode of Catalog & Cocktails LIVE from the Knowledge Graph Conference.
Hosts Tim Gasper and Juan Sequeda will be joined by Katariina Kari, Lead Ontologist at IKEA to chat about all things Knowledge Graph.
With the hype of AI, one of the important topics to discuss is Responsible AI.
In this episode, we will be unpacking Responsible AI, what is the problem, what are solutions such as principles, governance, auditing, regulation with renowned computer scientist researcher, Ricardo Baeza-Yates.
There’s a high turnover of CDO/CDAO positions. Data teams are not directly contributing to ROI. What’s the root cause? It’s all in the DNA of the organization.
Understanding this will be critical in addressing this issue in organizations.
Hosts Juan and Tim will be joined by special guest Alex Vayner, from KPMG US to also discuss the data roles in the different types organizations and also dive into the buy vs. build decision-making process.
Knowledge graphs and large language models. A match made in heaven. This pair will drive centralization and eventually work with AI to further consolidate and connect your data.
So why aren’t people prepared for it and what’s going to happen when AI steps in?
Join us on this weeks episode of Catalog & Cocktails with hosts Tim, Juan, and special guest Tony Seale, Knowledge Graph Engineer.
Survival guides, rulebooks, blueprints and more. The best way to prepare yourself as a next generation data leader is this episode of Catalog & Cocktails with Tim Gasper, Juan Sequeda, and special guest Veronika Durgin, VP of Data at Saks 5th Avenue.
Get deep into some preparation-curriculum with topics like:-Do’s and Don’ts of Data Leaders
-Are you skeptical enough?
-How curious are you?
-Joining communities that educate and inspire
-and MORE
Is business the problem or is it the data? Business science hasn’t changed since Peter Druker. But, it needs to change. It was designed in an era of certain technologies and data limitations. We had to work in isolation.
Those days are long gone.
So who’s to blame for inefficiencies, unsolved problems, mismanaged processes and other barriers? Join this weeks episode of Catalog & Cocktails with hosts Tim, Juan and special guest Benny Benford to find out where the buck stops.
Metrics are one of the most important and durable primitives in a company. And if data teams are looking to create value FAST… they have to learn how their businesses work.
To figure out how you business works, you have to find the right starting point; back to the METRICS.
Join Tim, Juan and special guest Abhi Sivasailam from Levers Lab on this week’s episode of Catalog & Cocktails to hear more about the most valuable use cases.
Episode highlights:
Juan and Tim give their ultimate takeaways from Gartner in Orlando with a TON of guests.
Guests like:
Cindi Howson, Chief Data Strategy Officer at Thoughtspot, and Host of the Data Chief Podcast
Wayne Eckerson, President at Eckerson Group
Sean Anderson, Host of Sources & Destinations Podcast, and Head of Product Marketing at SelectStar
Benn Stancil, CTO + Founder @ Mode
Malcolm Hawker, Head of Data Strategy, Profisee
Malcolm Chisholm, President, Data Millennium
Kuldeep Sharma, Sr Manager Data Governance, Enterprise Data
Vassil Momtchev, CTO at Ontotext
Anthony Colichio, Senior Value Engineer, Reltio
In this episode of Catalog & Cocktails, Kristin Schooley from Learning Care Group sits down with Juan Sequeda and Tim Gasper to discuss the importance of teamwork and building relationships when it comes to scaling an analytics team within a large organization. The conversation covers a lot of ground, including the need to understand what reporting is needed and what story is being told, how to ensure scalability and compliance, as well as the importance of measuring usage and interpreting why certain data may not be utilized.
Key Takeaways:
Are we doing data and analytics correctly? Self service, centralization vs decentralization, analytics vs operations… so many aspects that data teams need to consider.
Join this week’s episode of Catalog & Cocktails with hosts Juan and Tim as they speak with special guest Bethany Lyons to discuss how we should have a separation between data operations an data analytics
Key Takeaways:
This week, we are having a throwback elixir with some very special surprise guests.
Tune in with hosts Juan and Tim to find out who.
Key Takeaways:
Increasing adoption of data products, by design
Look no further than Brian T. O’Neill’s bio to tell you that’s what he does best.
Our special guest this week knows that low adoption of data products are enterprises biggest enemy. Not just in terms of quantity, but also quality of these investments. Why are teams so often creating technically right, effectively wrong data products? Why do people fail to adopt when it’s them post crucial part of becoming data driven organizations?
These burning questions have answers.
Join hosts Juan, Tim, and guest Brian T. O’Neill on this weeks episode of Catalog & Cocktails.
Key takeaways:
Metadata management has been a topic for a while now. Lately, the industry is pushing that metadata is a knowledge graph problem. What does metadata in a pre and post graph world look like?
Join Juan Sequeda and Tim Gasper with special guest Mohammad Syed, Head of Data Architecture & Engineering at Capco to chat about metadata and knowledge graphs.
Key Takeaways:
Entity resolution.Is it a single source of truth? Is it multiple sources of truth? Is it multiple data sources that refer to the same real-world thing?
How do we make sense of it? How can we harness the value of data through entity resolution? Talk to Jeff Jonas from Senzing on this week’s episode of Catalog & Cocktails and you’ll understand.
Key Takeaways
If there were a tombstone for this episode it would read “here lies Master Data Management,” But would you agree?
In this episode, join Tim, Juan, and special guest Malcolm Hawker from Profisee, will discuss the history of master data management, the buzzwords surrounding it, and where it’s headed, assuming it’s still alive.
Key Takeaways:
Data modeling isn’t new. So why is it still a problem?
Maybe the problem isn’t data modeling itself, but rather there is no modern solution for companies, or the incentives are not well understood. It’s a learn-as-you-go type of thing, but that’s where the trouble lies.
Do you hire one data engineer and have them do everything? Do we encourage training in data modeling? OR… do we throw in the towel and keep doing things as they’ve always been done?
Join Tim, Juan, and special guest Anna Abramova from SqlDBM to answer these burning questions on this week’s episode of Catalog & Cocktails.
Key Takeaways
Imagine planting seeds and not watering them. Or putting water on the stove but not turning on the gas. Sounds silly, right?
Now take your organizations data and think about not leveraging it as an asset. It’s like taking the initial step of planting something in the garden and deciding not to provide nourishment.
Join Tim, Juan, and special guest Jane Urban from Takeda to understand the difference between a data asset and a data product and why companies still struggle finding the real value.
Key Takeaways
Those who don’t know their history are doomed to repeat it. If there is someone who can speak to data history, it’s Bill Inmon. How did data warehouses start? Why is the computing profession still immature?
Join Tim Gasper, Juan Sequeda and Bill Inmon, the father of the data warehouse and Founder of Forest Rim Technology, to learn about the past and present of data, and where things might be heading in the future.
Key Takeaways
Well, another incredible season of Catalog & Cocktails concludes this week with hosts Tim Gasper and Juan Sequeda.
Join in for the ultimate takeaways of the takeaways as Tim and Juan recap best moments, favorite hot takes, and the most controversial opinions over the last season.
Listeners, please submit your feedback: https://forms.gle/FdjMfarUaVnJ3SzB9
Key Takeaways
What better place to discuss the current state of data governance and what should the industry be focusing on than a live episode at the Data Governance and Information Quality (DGIQ) Conference.
Join Tim Gasper and Juan Sequeda LIVE from DGIQ in Washington, D.C. with special guests Anthony Algmin and Shannon Moore to have an honest no-bs discussion data governance and how it's all about people.
Key Takeaways
Think back to when you were first learning to swim. How’d you do it? Chances are, you weren’t thrown into the ocean being circled by sharks. We sure hope not, anyway.
You probably picked it up under the watch of a lifeguard in most cases.But once it became second nature, the lifeguard didn’t hold SO much power. Well, data engineers are the lifeguard, and if there isn’t a checks and balances system between them and the business teams, the engineers will be determining your every move in AND out of the water.
Join Catalog & Cocktails hosts Juan and Tim, with special guest Allison Sagraves as they discuss how you get in the water by yourself without drowning.
Key Takeaways:
You have to have a lot of data to get AI to work. But the data folks are not jumping on it as fast as they should.
So what happens when data teams aren’t up to speed, companies are hiring more data scientists than they are engineers, AND current data teams are focusing too much on biz reporting and not supporting AI?
This week on Catalog & Cocktails, join hosts Tim Gasper and Juan Sequeda as they chat with special guest, Theresa Kushner, Head of North America Innovation Center at NTT Data Services to discuss how the AI train is leaving the station and data teams can only run so fast.
Key Takeaways
Machines and people. Why can't we just speak the same language? The truth is we can, and doing so could make life demonstrably better for data scientists. Yet here we are, living in a world of rows and columns that few people outside of the data owner understand.
Join this weeks episode of Catalog & Cocktails as hosts, Juan Sequeda and Tim Gasper with special guest, Dan Bennett, tackle semantics and how to get everyone -- machines and people -- on the same page.
Key Takeaways:
Data and business teams become a convoluted intersection, and when they struggle to communicate, it leads to bigger problems than awkward water-cooler talk.
So what comes first? Translation? Data literacy? Company culture? The chicken? The egg?
Co-founders of Preql, Gabi Steele and Leah Weiss, join hosts Tim and Juan to discuss how to put the business in charge of their own data and how this leads to the answers AND massive alignment between data and biz teams.
Key Takeaways
You can’t buy a predictive model off the shelf. And if you COULD… would you? It’s the old “build versus buy” debate and with data in a constant state of change, building and deploying AI is more challenging than ever.
Join Tim, Juan, and Andrew Eye, CEO at ClosedLoop.ai, to discuss the challenges of AI deployment, AIOps, and maintaining models as data changes.
Key Takeaways
The most effective way to understand your business is the special balance between things like tribal knowledge and extracted knowledge, technical teams and business teams, confidence and skepticism.
Join Tim, Juan, and Loris Marini, CEO of Discovering Data, as they zoom in to find that balance and the humility it may take.
Key Takeaways
Data needs to be in the hands of the people who really need it. Sounds simple, right? So where is the disconnect? If your teams aren’t partnering to get projects done, it’s often due to a lack of understanding of each others pain points. That’s where empathy is a must.
Join Tim, Juan and special guest Laura Ellis from Rapid7 as they discuss supporting all the cooks in the kitchen when it comes to data projects, why that’s a hill to die on and HOW to actually get that done.
Key Takeaways:
AI and ML are both at the center of many applications today from autonomous vehicles to healthcare. But where is this ship heading?
Join Tim, Juan, and Patrick Bangert, VP of AI at Samsung SDS where they will discuss where the focus of AI is today and where it should be tomorrow.
Key Takeaways
You have been asked to start the Data Governance program in your organization. Sounds easy, right? How do you start? How do you define success? Who needs to be part of the team?
Join Tim, Juan and Rupal Sumaria, Head of Governance of Penguin Random House UK to discuss the steps for a successful data governance program and what to avoid.
Key Takeaways
Answering critical business questions relies on integrating data from a variety of systems. But it takes a lot of work to understand what the disparate data means and how it all fits together. How do we make data as reliable as an electricity?
Join Tim Gasper, Juan Sequeda and Fraser Harris, VP of Product at Fivetran, as they celebrate the 100th live episode of Catalog & Cocktails and discuss how #metadata, #datacatalogs, and #dataintegration act as the power source for your connected enterprise
Key Takeaways:
Data Catalogs are at the center of every enterprise’s data strategy. It’s important to explore the current state and how data catalogs are evolving. Who better to talk about Data Catalog than the author of the upcoming O’Reilly book “The Enterprise Data Catalog”, Ole Olesen-Bagneux from GN.
Join Tim, Juan, Ole to discuss the future of data catalogs and why knowledge is at the center.
Conversation highlights:
In this episode, Tim, Juan, and Ole Olesen-Bagneux, author of O’Reilly “The Enterprise Data Catalog, discuss the future of data catalogs.
This Takeaway episode will feature the summary of the upcoming show.
What is the state of Data engineering today and where is it going (or should it be going)? Who better to talk about Data Engineering than the authors of the recent O’Reilly book “Fundamentals of Data Engineering”, Joe Reis and Matt Housley from Ternary Data.
Join Tim, Juan, Joe and Matt to discuss the state of data engineering.
Conversation highlights:
Lucid Streaming; how to take full advantage of data streaming
You are listening to great talks, podcasts, webinars on how to improve and take your data and analytics to the next level. You want to take all these ideas and start implementing them in your organization. But how do you start? Join Tim, Juan and Roel Pot, Global Data Manager at Vopak where they discuss how to go from thought leadership to practice.
Conversation highlights:
This Takeaway episode will feature the summary of the upcoming episode with Roel and Valentijn from Vopak.
Catalog & Cocktails is BACK! Tune in for the SEASON FOUR PREMIERE with hosts Juan Sequeda and Tim Gasper!
Bridging the gap between business and IT is an age-old problem. IT doesn’t understand the business. The business doesn’t understand IT. Everyone looks at IT and business as if they were separate and point fingers, when they should actually be together.
Join Tim, Juan and Vipul P., Global Head of Data Management at WPP where they discuss approaches to bridge the gap between business and IT.
Conversation Highlights:
Catalog & Cocktails is BACK! Tune in for the SEASON FOUR PREMIERE with hosts Juan Sequeda and Tim Gasper!
Bridging the gap between business and IT is an age-old problem. IT doesn’t understand the business. The business doesn’t understand IT. Everyone looks at IT and business as if they were separate and point fingers, when they should actually be together.
Join Tim, Juan and Vipul P., Global Head of Data Management at WPP where they discuss approaches to bridge the gap between business and IT.
Juan's Trip Takeaways from MIT CDOIQ
Ever wondered how Catalog & Cocktails happens?
How does the show go from an idea to a full-blown episode every single week?
Karli Burghoff, Producer of Catalog & Cocktails AND data.world Demand Generation Specialist, joins this bonus episode to talk about the processes, pains and prizes of creating a podcast. Oh, and she roasts the hosts multiple times in this episode too, don't miss that.
Join Juan and Tim for the Season Three Finale of Catalog & Cocktails. The hosts discuss the takeaways of the takeaways, best guest moments and valuable advice from some of the guests from the last 20 episodes!
We live in a data first world. Give me more and more data. But what about the meaning of that data? How should the data be modeled so it can be easily understood and consumed by data scientist and analyst?
In this episode, Tim, Juan, and Ergest Xheblati, will live discuss why data modeling should be at the core of an enterprise.
This episode will also cover:
In this episode, Tim, Juan, and Ergest Xheblati, will live discuss why data modeling should be at the core of an enterprise.
This Takeaway episode will feature the summary of the upcoming show.
LIVE from the Snowflake Summit in Vegas. The hosts of Catalog & Cocktails sit down with Peter Kapur from WM to explore how we should be getting true value from metadata, data and analytics.
LIVE from the Snowflake Summit in Vegas. The hosts of Catalog & Cocktails sit down with Peter Kapur from WM to explore how we should be getting true value from metadata, data and analytics.
This Takeaway episode will feature the summary of the upcoming show.
So much of the focus of the analytics and vendor community today is on data. We have solutions for data visualization, warehousing, observability, cataloging, transformations, and more. But data is nothing without context. So why does metadata tend to draw the short straw?
In this episode, Tim, Juan, and Sanjeev Mohan, former Gartner analyst and principal at SanjMo, explore how metadata acts as a proverbial travel guide for your data and analytics journey.
This episode will also cover:
In this episode, Tim, Juan, and Sanjeev Mohan, former Gartner analyst and principal at SanjMo, explore how metadata acts as a proverbial travel guide for your data and analytics journey.
This Takeaway episode will feature the summary of the upcoming show.
Why do some data-driven decisions seem to go so disastrously wrong? Ironically, the answer to this question likely isn’t found in the data at all, but rather our subconscious. In a time when companies have never been more data rich, it’s often our inherent information biases that doom critical analytics and data science work.
Is it possible to take the bias out of data work? That’s the question we ponder in this episode featuring Ciaran Dynes, chief product officer at Matillion.
This episode will also cover:
Is it possible to take the bias out of data work? That’s the question Tim and Juan ponder in this episode featuring Ciaran Dynes, chief product officer at Matillion.
This Takeaway episode will feature the summary of the upcoming show.
What does it take to build a successful data & analytics business? An entrepreneurial spirit, a problem-solving mindset, a sense of adventure, and the strength to get started.
We are live from the data.world All Hands and joined by Brett Hurt, CEO and co-founder of data.world, author, and serial entrepreneur. Brett will share what it’s like to fundraise and scale a data company in this challenging economic climate, who inspires him and why, and how he sees the data and analytics landscape evolving.
This episode will also feature:
In this episode, Tim, Juan, and Brett discuss what it’s like to fundraise and scale a data company in this challenging economic climate, who inspires him and why, and how he sees the data and analytics landscape evolving.
This Takeaway episode will feature the summary of the upcoming episode.
Some of the greatest breakthroughs throughout human history can be attributed to the biotech field, from life-saving vaccines to advances in supply chains. So it’s no surprise that biotech is also a fast-mover when it comes to innovative socio-technical paradigms like data mesh.
In this episode, Tim, Juan, and Omar Khawaja, Global Head of BI at Roche, break down the good, the bad, and the ugly of the company's data mesh journey.
This episode will also feature:
Some of the greatest breakthroughs throughout human history can be attributed to the biotech field, from life-saving vaccines to advances in supply chains. So it’s no surprise that biotech is also a fast-mover when it comes to innovative socio-technical paradigms like data mesh.
In this episode, Tim, Juan, and Omar Khawaja, Global Head of BI at Roche, break down the good, the bad, and the ugly of the company's data mesh journey.
This episode will also feature:
Everyone has an opinion on the modern data stack. What’s in it? What’s out? What’s the cool new buzzy technology? Unfortunately, it’s often the most important question that people fail to ask: How are your tools delivering value?
In this episode, Tim, Juan, and Sarah Krasnik get back to first principles and remind us why everyone was excited about the modern data stack to begin with.
This episode will also feature:
In this episode, Tim, Juan, and Sarah Krasnik get back to first principles and remind us why everyone was excited about the modern data stack to begin with.
This Takeaway episode will feature the summary of the upcoming episode.
How do the most successful companies stitch together data governance, understanding, access, and use to create active and engaged data cultures? The answer, as usual, can be found in the knowledge graph.
And what better place to talk nodes and edges than the Knowledge Graph Conference in New York City? In this episode, Tim and Juan are joined by conference chair, Francois Scharffe, to discuss how knowledge graphs are driving the automated enterprise.
This episode will also feature:
What better place to talk nodes and edges than the Knowledge Graph Conference in New York City? In this episode, Tim and Juan are joined by conference chair, Francois Scharffe, to discuss how knowledge graphs are driving the automated enterprise.
This Takeaway episode will feature the summary of the upcoming episode.
Data architecture is more layered than an onion. Data, metadata, access, transform, virtualization, visualization. And with the modern data stack, we’re now talking more about semantics and metrics layers.
This week, Tim and Juan are joined by Nick Handel, CEO of Transform, to talk all things semantics and metrics and why enterprises need to be thinking more about more about relationships.
This episode will also feature:
This week, Tim and Juan are joined by Nick Handel, CEO of Transform, to talk all things semantics and metrics and why enterprises need to be thinking more about more about relationships.
This Takeaway episode will feature the summary of the upcoming episode.
It’s not easy being a “data leader.” For one, you have to advocate for good data practices at your company. But you may also feel a strong desire to create your own brand on social media and at conferences. With the constant noise, posturing, and rigorous debate over every facet of data and analytics, this can be daunting. And sometimes, you feel like an imposter.
In this episode, Tim and Juan are joined by Steve Perry, Director of Data and Analytics at Genius Sports, to talk about the challenges that rising data leaders face, and how to block out the noise, and chart your path to success.
This episode will also feature:
In this episode, Tim and Juan are joined by Steve Perry, Director of Data and Analytics at Genius Sports, to talk about the challenges that rising data leaders face, and how to block out the noise, and chart your path to success.
This Takeaway episode will feature the summary of the upcoming episode.
Imagine sitting down at a restaurant. Your food is already on the table, and the waiter hands you a menu of different dishes and silverware you can use to consume your meal. That’s a completely backwards experience, but it’s kind of how data architecture works today. We have our data in cheap storage, and then we purchase software that helps us consume it. Is this also wrong?
In this special episode, Tim and Juan are joined by Chad Sanderson, Head of Product, Data Platform at Convoy, to discuss whether or not we're incorrectly architecting our modern data stack.
This episode will also feature:
In this special episode, Tim and Juan are joined by Chad Sanderson, Head of Product, Data Platform at Convoy, to discuss whether we’re incorrectly architecting our modern data stack.
This Takeaway episode will feature the summary of the upcoming episode.
Everyone - including us - wants to talk about how to get value from your data, but the truth is you can’t even get your data program off the ground without policy. Policies guide our decisions, our access controls, and even our data supply chains. But can policy make us more productive?
In this special episode, Tim and Juan are joined by Nong Li, CEO of Okera, to discuss why and how the data world should be thinking about policies.
This episode will also feature:
Join Tim, Juan and special guest Nong Li, CEO of Okera, to discuss why and how the data world should be thinking about policies.
This Takeaway episode will feature the summary of the upcoming episode.
Companies have most of the last decade in pursuit of data. We’ve waded through data lakes, explored data warehouses, routed through data hubs, and migrated our data to the cloud. But the end goal was never about the data. It was the pursuit of knowledge.
In this special episode, Tim and Juan are joined by a legend in our industry. Bob Muglia, the former CEO of Snowflake, will hang out and chat about the modern data stack, new approaches to governance, and the search for the enterprise holy grail… knowledge
This episode will also feature:
Join Tim, Juan and special guest Bob Muglia, former CEO of Snowflake, to talk about the future of data; knowledge
This Takeaway episode will feature the summary of the upcoming episode.
Agile processes in software development date back to the beginning of the century. We’re now seeing concepts like scrum and sprints make their way into the world of data. data.world is even applying agile to data governance.
But what exactly does it mean to be agile in data? What’s the end product, and how do you measure and scale the practice in your organization? Join Tim, Juan and special guest Shane Gibson, Founder of AgileData.io to talk agile in the domain of data.
This episode will feature:
Join Tim, Juan and special guest Shane Gibson from AgileData.io, to talk agile in the domain of data.
This Takeaway episode will feature the summary of the upcoming episode.
What does the word, “privacy” mean to you? Is it about being left alone? Being forgotten? In today’s world of ubiquitous digital apps, we think about privacy and utility as a give and get. To get the best experiences from Google, Facebook, and Amazon, I need to give up some measure of privacy. But, is that true?
Join Tim, Juan and special guest Patricia Thaine, CEO from Private AI to discuss the state of data privacy and how enterprises and customers should think about it.
This episode will feature:
Join Tim, Juan and special guest Patricia Thaine, CEO from Private AI to discuss the state of data privacy and how enterprises and customers should think about it.
This Takeaway episode will feature the summary of the upcoming episode.
Are you on Team Batch or Team Stream? Next-gen data warehouses, lakehouses, ELT, and orchestration have made batch more modern and popular than ever, but more and more use cases - from fraud detection to smart energy grids - rely on continuous streams to make real-time decisions. Is streaming the coming revolution, or just another way to process data?
Join Tim, Juan and special guest Arjun Narayan, CEO of Materialize to discuss all things data streams and how these pipelines fuel the modern data stack.
This episode will feature:
Join Tim, Juan and special guest Arjun Narayan, CEO of Materialize to discuss all things data streams and how these pipelines fuel the modern data stack.
This Takeaway episode will feature the summary of the upcoming episode.
Data transformations, dbt, data catalogs, data teams, data culture, data mesh. It’s a lot. But pour yourself a drink and enjoy this special edition of Catalog & Cocktails.
Hosts Juan Sequeda and Tim Gasper broadcast live from the 2021 dbt Coalesce conference and were joined by special guests, Meetesh Karia and Claire Look from The Zebra to take a glimpse into the future of analytics engineering.
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Have you ever had a tax form sent to the wrong address, a credit card with no suspicious activity get deactivated, or been billed for a service you’ve never used? If so, you may be the victim of poor data modeling.
Join Tim, Juan and Karen Lopez, aka @datachick from InfoAdvisors, to discuss what assumptions people and applications make about the simplest data. We’ll also try and answer the question, “why are phone numbers, and addresses so damn hard to model?!?”
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Join Tim, Juan and Karen Lopez, aka @datachick from InfoAdvisors, to discuss what assumptions people and applications make about the simplest data. We’ll also try and answer the question, “why are phone numbers, and addresses so damn hard to model?!?”
This Takeaway episode will feature the summary of the upcoming episode.
Analytics are great for answering the “what.” Did we hit our sales targets or not? Did our supply chain hold up under the strain of a prolonged pandemic? But smart data leaders recognize that real transformational insights come from people, processes, and tools that answer the bigger question of “why.”
Join Tim, Juan and special guest Luke Slotwinski, VP of Data & Analytics at Prologis, to discuss how data leaders can empower their teams by asking for more from their data.
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Join Tim, Juan and special guest Luke Slotwinski, VP of Data & Analytics at Prologis, to discuss how data leaders can empower their teams by asking for more from their data.
This Takeaway episode will feature the summary of the upcoming episode.
For all the incredible innovation in the field of data and analytics, one practice unfortunately remains stuck in neutral. Data governance, when applied with an agile approach that aligns with business objectives and focuses people first, can be a boon for data-driven organizations. However, most companies today still think about governance in terms of tools, workflows, or privacy and compliance.
If data governance had a help line, it would likely be staffed by this week’s guest. Join Tim, Juan and Laura Madsen, author of “Disrupting Data Governance,” for a discussion on how we can all be better ambassadors for data.
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Juan and Tim sit down for Catalog & Cocktailsv with Laura Madsen, CEO of Moxy Analytics and author of “Disrupting Data Governance,” for a discussion on how we can all be better ambassadors for data.
This Takeaway episode will feature the summary of the upcoming episode.
Data mesh continues to be a hot topic in 2022, and it feels like we’re finally past the definition stage. The big question to resolve this year is: how do you do federated data governance in a decentralized environment? Can you even do it?
Join Tim, Juan and special guest Dora Boussias, Director of Enterprise Architecture and Data Strategy, for a live brainstorming session on how to implement data governance for the data mesh.
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Juan and Tim sit down for Catalog & Cocktails with Dora Boussias, Director of Enterprise Architecture and Data Strategy.
This Takeaway episode will feature the summary of the upcoming episode.
We all like to measure things: height, weight, company revenue, active users on our SaaS platform. Measurement, and a common understanding of that measure is critical whether you’re a doctor, an athlete, or a business decision maker. Self-service analytics is much easier today, but without shared definitions for the metrics we’re reporting on, trust in analytics is still relatively low. Is it time for a Metrics Layer?
Join Tim, Juan and special guest Benn Stancil, chief analytics officer and founder of Mode to discuss all things Metrics Layer including what it is and why we should care.
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Juan and Tim sit down for Catalog & Cocktails with Benn Stancil, chief analytics officer and founder of Mode
This Takeaway episode will feature the summary of the upcoming episode.
Sure, it’s fun to chat with data executives and thought leaders, but this season, we are focusing on the people who roll up their sleeves and get the data work done. And there’s no better place for a podcast like ours to start than with a data practitioner at Drizly.
Special guest Emily Hawkins, analytics and data platform lead, joins Tim and Juan to share how the data team and the data stack were established and how the e-commerce platform is evolving following the company’s acquisition by Uber.
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Juan and Tim sit down for Catalog & Cocktails with Emily Hawkins from Drizly.
This Takeaway episode will feature the summary of the upcoming episode.
The new year means it’s time for another trek around the sun. It’s also time to make a few predictions about what might change in data & analytics. Is it time for data practitioners to participate in boardroom conversations? Will we see data teams embedded in business units? What new technologies will become part of the modern data stack?
Join Tim, Juan and Sarah Catanzaro from Amplify Partners,, to discuss what’s in store in 2022.
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Juan and Tim sit down for the Catalog & Cocktails Season Three Premier with Sarah Catanzaro from Amplify Partners to discuss what’s in store in 2022.
This Takeaway episode will feature the summary of the upcoming episode.
Let's wrap Season Two of Catalog & Cocktails with the Takeaways of the Takeaways!
In this wildly diverse yet hyperconnected world, it's hard enough to understand how people communicate with one another. So how do machines do it?
Join Juan, Tim, and special guest, Steve Whitla from Visual Meaning for a discussion about how humans and systems talk to one another, and even have meaningful conversations.
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In a relatively short time, we’ve gone from collecting and neglecting data to managing, enriching, and learning from data. We are in the age of collective data empowerment, where user-friendly apps and data ubiquity mean almost anyone can answer complex business questions. So why does the “data-driven” enterprise still sound like a pipe dream?
Join Tim, Juan and special guest Kelly Wright, president and COO at Gong and former EVP at Tableau, for a discussion on data and analytics past, present, and future.
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The modern data stack is often defined by the type of technologies that exist within it. Cloud-based, open source, low/no code tools, ELT, and reverse ETL. But surely there’s more to it… isn’t there?
What holds the modern data stack together and makes it the architecture of choice for so many data-driven enterprises? Join Tim, Juan and special guest, Nick Schrock, founder of Elemental and creator of Dagster and GraphQL, to chat about all things MDS.
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Describe your reaction upon glancing at Matt Turck’s latest data landscape diagram
It wasn’t that long ago that enterprise software was dominated by proprietary data architectures from the likes of IBM, Oracle, and SAP. Once you made a selection, you were stuck with it for better or worse, in sickness and in health.
But that’s not the case today. The methodical movement towards resilient, open SaaS applications and best-of-breed tools has ushered in the era of DataOps buoyed by the “modern data stack.” But, is this a good thing?
Join Tim, Juan and special guest Andy Palmer, CEO of Tamr, to talk open vs. closed ecosystems and how to decide what’s right for you.
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Self-service is great for listening to music, pumping gas, and figuring out what to binge watch on TV. But is self-service really what we want from our analytics? What happens to the business world when everyone is a data analyst?
Tim, Juan, and special guest Cindi Howson, chief data strategy officer at ThoughtSpot and host of The Data Chief Podcast explore the positives and potential downsides of data democratization and how to drive data cultures that bias for good.
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New data tools drop daily, but are they worth the hype? Some launch with overinflated expectations, while others solve a problem that doesn’t really exist. On the flip side, there are tools that transform the enterprise and have the potential to change the way we do data forever. The question is, how can you tell the difference?
Special guest Erik Bernhardsson, formerly with Better.com and Spotify, joins Tim and Juan for a conversation on data tools; the good, bad and the ugly.
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If data, and information more broadly, is a company's most important asset, then why is it so often treated with less respect than office furniture? It's in various states of disarray, often unaccounted for, and employees bring it home against corporate policy.
This week, we're joined by Doug Laney, author of the best-selling book, "Infonomics: How to Monetize, Manage, and Measure Information as an Asset for Competitive Advantage.” We'll talk about taking better care of your data, so it can take better care of you.
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“What is a data mesh?” It’s one of the most frequently asked questions on this podcast, and is almost a microcosm for data and analytics as a whole. It may be the next big thing. It may be yet another passing fad in architectural design. We compared and contrasted it with data fabric in Episode 32 and spoke with Zhamak Dehghani, the founder of the data mesh paradigm in Episode 44. We even hosted a special panel discussion dedicated to data mesh.
After all these discussions, we are still trying to figure out what it is. So, we’re settling this the only way we know how: a good old-fashioned debate. Only one side can win.
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When we think about good, responsible data stewardship, we often think in terms of compliance and governance. We talk about access, trust, and consumption. But there’s another dimension we must consider if we’re to be truly responsible with data. We simply can’t ignore the role of ethics in data use.
Join Tim, Juan and special guest Partha Srinivasa, award-winning CIO/CTO/CDO and current CDO of Verisk, for a conversation about data responsibility and ethics.
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Quick, what’s the difference between a data engineer and a data analyst? One preps the data, the other analyzes the data, right? A data scientist, meanwhile, analyzes more complex and disorganized data. The truth is all three of these roles perform overlapping functions leading to an incredible amount of confusion in the job market.
Join Tim, Juan and special guest Danielle Oberdier, founder of DiKayo Data and host of the popular DataFemme podcast, to talk about the state of data jobs. How do we make sense of the roles that are out there today, who should companies be looking for in their hiring process, and what new and exciting data positions are starting to emerge?
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Is your data infrastructure designed for the next decade of data work? Probably not, but are you at least heading in the right direction? It’s an existential question that often reveals fundamental flaws in the system.
Join Tim, Juan and special guest Mammad Zadeh, former VP of Engineering at Intuit, for a deep dive on data tools, leadership, and change management.
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Fall summit 2021 is right around the corner!!!! Join speakers from Nationwide, ThoughtSpot and MANY MORE to discuss hot topics like Data Mesh, DataOps, and the future of data management on Sep. 29: data.world/events/summit
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With the hype of graph databases and knowledge graphs, a common (mis)practice is to quickly migrate your existing siloed data into a graph database. But be careful! You may just be bringing the complexity of your silos into the graph.
Join Tim, Juan and guest Jans Aasman from Franz Inc, the makers of AllegroGraph, for a conversation on why your graph-based machine learning and 360 projects should start with data modeling.
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Don't forget to register for the data.world Fall summit 2021: data.world/events
We all strive to be data-driven. And yet we all instinctively know that we’re not very good at it. In fact, if you believe any number of recent surveys, it seems we may actually be getting worse at data. One reason for this is a misalignment on what success looks like. How do you define and measure it? What is the actual value of your data?
This week, Tim and Juan join Lars Albertsson, founder of Scling, to talk about data productivity and balancing a technology vs product-driven approach to data.
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ETL (Extract Transform and Load) was the SOP for data integration for 25+ years. A decade ago the introduction of data lakes pushed transformation to the end of the process and into tools like Snowflake, BigQuery, and Redshift. Now the latest chatter in the data management industry is Reverse ETL. Shouldn’t we call this LTE?
Join Tim, Juan and special guest Tejas Manohar, CEO of Hightouch for a conversation about Reverse ETL and why it matters now.
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You can’t get from your home to the grocery simply by owning a car. You have to actually drive the vehicle to get to a place that delivers value. Sounds obvious right? But we don’t instinctively think this way when it comes to data. We focus so much on tools, processes, and architectures, but we don’t talk enough about actually using the data.
This week, Tim and Juan are joined by Mike Ferguson, managing director of Intelligent Business Strategies Limited to look at why we’re not using data nearly as effectively as we think and what can be done about it.
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We all want to get more value from our data, right? So should we wrangle it, prep it, classify it, mine it, or model it? Then once we’ve got our data squared away, should we do prescriptive or predictive analytics? And does that require real-time or just-in-time data? If we had a nickel for every buzzword we hear, we could afford far better podcasting equipment.
In this episode, Tim and Juan are joined by Kirk Borne, Chief Science Officer at Dataprime AI to demystify some of our most egregious buzzwords and look at what everyone’s going to be talking about next.
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Open source software is one of the largest and fastest growing segments within the data landscape. And if you’re implementing DataOps practices or considering data mesh, openness and flexibility are key architectural principles.
This week, Juan and Tim are joined by Denise Gosnell, CDO of Datastax, to talk about the business of open source and how community-centric data applications are reshaping the enterprise.
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The data landscape has evolved substantially over the last decade. We’ve gone from data lakes to data hubs to lake houses. We see data represented as documents, columns, graphs, and time series. So how might this evolution continue over the next ten years?
To help us ponder this question, Juan and Tim are bringing in Emil Eifrem, CEO of Neo4j. We’ll take a look at how we got to this point, and what new data management challenges and opportunities await.
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We’re back in the office. Now what?
We roll into season two with a straightforward question: “Did we learn anything new about data work and data people during the pandemic?”
Who better to address that subject than DJ Patil, mathematician, entrepreneur, and the very first U.S. Chief Data Scientist? Join Tim, Juan, and DJ for a wide-ranging conversation on data cultures, architectures, roles, and enduring lessons from the past 16-months of largely remote work.
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*Corrected Audio*
Data Architecture is evolving and there are many questions with various perspectives. What is the balance between centralization and decentralization? How do you start treating data as a product? How do you incentivize people? What’s the role of Data Mesh, Data Fabric, Knowledge Graphs?
This special edition of Catalog and Cocktails is the Data Architecture panel from the Knowledge Graph Conference, moderated by Juan Sequeda. Listen and learn from Teresa Tung Chief Technologist of Accenture’s Cloud First group , Zhamak Dehghani director of emerging technologies at Thoughtworks and founder of Data Mesh concept, and Jay Yu, Distinguished Architect at Intuit.
You can watch the panel here and follow Juan’s takeaways.
What’s the old saying? “The journey IS the destination.”
What started as an experiment and a way to kick back with colleagues and peers on a video call, turned into a thriving, honest, no BS podcast about enterprise data management.
Hosts Juan and Tim embarked on this journey that turned into a 50-episode series. The episodes boasted conversation topics spanning from identity graphs, modern data stacks, and building data teams, all the way to data lineage, data trust issues and learning what a CDO actually does. Our audience heard vulnerable and transparent talks from leaders at companies like AirBnB, McKinsey and Company, Wunderman Thompson and more.
This season finale is a look back at season one and a candid talk about the lessons learned.
Business intelligence has come a long way since the early days of IBM’s decision support systems. Today BI is the backbone of many data-driven organizations, and companies often look to BI tools to help them make accurate predictions.
In this episode, we take a look into the future of BI itself. Join Tim, Juan, and Ashley Kramer, the Chief Product Officer from Sisense, as they explore the intersection of BI, analytics, and artificial intelligence.
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We always talk about managing metadata and data...but what about managing knowledge? It has to be more than keeping a spreadsheet of a business glossary!
Join Tim, Juan, and Joe Hilger from Enterprise Knowledge for a conversation about how the data management and knowledge management communities need to unite in order to best manage your unstructured and structured data.
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Classic Rock, historical paintings, and fine wine; some things are better left untouched. When it comes to your data stack however, that rule doesn’t apply.
Having the right foundation- a mix of tools, people, and processes- is absolutely essential to getting value from your data. Join Juan, Tim, and Brandon Chen from FiveTran for a chat about letting go of your organization’s old tools and processes and welcoming in the new.
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Every maturing company hits a point where the processes and systems that once worked no longer scale. Don’t let this happen to your data organization.
Join Juan, Tim, and this week’s guest, Meetesh Karia from The Zebra, while they live brainstorm about scaling data teams and processes. They’ll look at how the small seeds you plant along the journey can pay huge dividends later on. It all stems from the seeds you plant along the way; the people on your team, the balance of efficiency vs. resilience and the processes...
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Accelerating the delivery of data applications is at the top of the to-do list for many enterprises. That requires overcoming friction in your data architecture, managing complex requirements, and handling a variety of semantics challenges.
Join Tim, Juan, and Chris Bergh from Data Kitchen for a conversation about DataOps. The trio will look at how this emerging data management methodology can improve the flow of knowledge within data teams.
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Mesh is everywhere. It’s in our clothes, our fishing nets, our Wifi networks, and now our data architecture. But what is a data mesh? Do you need one? And if so, how do you start?
Zhamak Dehghani is the director of Emerging Technologies at Thoughtworks and the leading expert on data mesh. We’ll chat about the emergence of the data mesh as a concept, why the approach works for eliminating architectural silos, and how it's producing more data-driven cultures.
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The data science discipline is in a constant state of evolution with new techniques and applications being introduced almost daily. And this journey often begins at institutions of higher learning around the world. Many universities offer bachelors and masters degrees in data science, but are these programs adequately preparing the data professionals of tomorrow?
In this episode, Juan, Tim, and Prof George Fletcher of Eindhoven University of Technology will discuss the state of data science education and explore how these programs can be extended to satisfy industry needs.
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Companies spend an obscene amount of money every year on data and analytics initiatives. And almost all of that spend goes toward applications that employ vastly different data models. Normalizing data structures is a painstaking process that most IT teams are used to by now. But should we normalize normalization?
In this episode, Juan, Tim, and Dave McComb, President of Semantic Arts and author of Software Wasteland and The Data-Centric Revolution, discuss what it takes to shift from an application-centric to a data-centric mindset.
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Here’s your mission, should you choose to accept it: Your company is making poor decisions about how to bring its latest product to market. Time is running out, and the company risks missing a unique and lucrative opportunity. You must convince your exec team to stop using gut instinct and start trusting in data.
Step one is building a strong data and analytics team with the right mix of people, process, and technical know-how. In this episode, Juan, Tim, and Patrick Barry, VP of Data and Analytics at SPM Marketing and Communications, discuss what it takes to assemble a team from scratch.
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Where does this data come from? Who created it? How has it been used? Like the origins of the universe, there can be quite a mystery surrounding the genesis of your company’s datasets. Understanding data provenance is the first step in answering those critical questions.
Join Tim, Juan, and Professor Deborah McGuiness of Rensselaer Polytechnic Institute, renowned AI scientist and pioneer in provenance research to discuss data provenance and why it matters to you.
In this episode, we discuss:
What’s the best way to get to know your customers? For most companies the solution is creating a 360 profile using data integration, data warehouse, master data management, and a slew of marketing tools. But there is another option: the Identity Graph.
Join Tim, Juan, and guests Michael Murray and Bret Harper of Wunderman Thompson Data for a look at how and why Identity Graphs are disrupting the company-customer relationship.
In this episode, we’ll discuss what an identity graph is and why you need one, why graph technology is a game changer for understanding customers, and the true identity of St. Patrick and what he might buy if he were alive today.
Data warehouses have been around for decades, and we’ve relied on data integration processes like ETL (Extract-Transform-Load) to get the data in. While data warehouses evolved to data lakes and data lakehouses, and ETL became ELT, little else has changed.
This week’s special guest is Drew Banin, co-founder of Fishtown Analytics. They’re the team behind the open source tool Data Build Tool (better known as dbt), and for disrupting the data transformation process (the T in ETL).
Discussion topics include how to build a modern tech stack for your data-driven business, what actually started the dbt revolution, and (of course, obviously) if you could transform into any animal on the planet, what would it be and why?
When data is powering your business, you expect that data to be trustworthy in real time, all the time, but that’s easier said than done. That’s where data quality comes in. Join special guest Lior Gavish, co-founder of Monte Carlo Data, for a conversation about data quality, reliability, and trust. Discussion topics include quantity vs. quality in data science and analytics, the downsides of applying band-aid fixes versus repeatable solutions, and whether quality wines are really worth the extra expense.
If data is the new oil, does that mean the Chief Data Officer is the new baron? Not exactly, but it is one of the fastest growing and most critical executive roles in the enterprise. So... what exactly does a CDO do?
In this episode, Tim and Juan welcome special guest Mohammed Aaser, CDO at McKinsey & Company, the world’s largest management consulting firm. We’ll discuss the unique responsibilities and challenges for a CDO in an increasingly data-driven economy. Plus, we’ll learn how the firm builds and maintains its own thriving data culture.
Discussion topics include how a CDO drives critical value for the business, future trends and potential disruptions in the data space, and a clear verdict on whether Tim or Juan would make the better CDO.
We test our food. We test our cars. We test our code. But do we test our data?
Join Tim, Juan, and special guest Sam Bail from Superconductive, the company behind open source data testing tool Great Expectations. We’ll chat about how to incorporate data testing into your workflow and who should be involved. We’ll also discuss why data quality is not just a tool, but a state of mind and a commitment.
This episode will feature tools for test-driven data development, best practices to incorporate data testing, and which of our hosts received the highest SAT score.
The insurance industry thrives on robust, diverse, accurate, and innovative data. In fact, it’s one of the most data rich verticals around, dealing in claims, ratings, coverage, pricing, geographic, and people data and so much more. But let’s be honest, working with the disparate data sources and applications is incredibly messy and inefficient!
In this episode, Juan and Tim will be joined by insurance veteran, John Lucker to find out what we can all learn from the data and analytics challenges in insurance.
This episode will include an honest look at the ugly side of insurance data, opportunities to address insurance data challenges, and an important deep dive: State Farm vs. Progressive. Which has better commercials?
Is data governance making you more productive? Or is it a pain that you just have to deal with for the good of the company? If you’ve got data issues, it may be time for a therapy session.
Join resident psychologists Tim, Juan, and Ashleigh Faith, EBSCO’s Director of Knowledge Graph and Semantic Search, as we explore the people and culture sides of data governance. We may not be able to treat all your symptoms, but we can change the way you feel about data governance.
This episode will feature ways to transform data governance from knowledge barrier to knowledge bridge, suggestions for consultative approaches to governance, and a discussion of who has started playing chess after watching The Queen’s Gambit.
Let’s talk data management frameworks. What is a data fabric and how is it different from a data mesh? No, seriously, we’re trying to figure it out ourselves. Is this an attempt by industry analysts and enterprising vendors to rebrand existing technology or are these fundamentally new data architectures?
In this episode, we’ll explore who and what are driving the conversation and try to demystify these emerging data disciplines.
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There’s a dashboard for everything in the enterprise now, so it’s easy to answer your complex questions in graphical form. And new features like natural language processing (NLP) make interactions and queries faster and easier than ever. But surely there’s more on the horizon in BI and analytics, right?
Join Tim, Juan and special guest Peter Bailis, CEO of Sisu Data for a conversation on the current state of business intelligence and data analytics. We will also discuss what’s next and the all important question: why?
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In October, veteran election "race caller" Dwayne Desaulniers shared how The Associated Press has evolved their process to provide neutral, third party analysis of our most critical elections. It's even more interesting to revisit this conversation months later as we look back on what turned out to be a tumultuous election cycle.
As the year winds down, we're revisiting our favorite (and most popular) episodes exploring some of the more unique data roles out there. Next year, we hope to keep bringing guests like Dwayne onto the show, and we want to know: what are you curious about? Whose story would you like to hear? Do you have an interesting perspective to share? Drop us a line at [email protected]. We'd love to hear from you.
Have a happy, healthy new year, everyone. We'll see you again in 2021.
In this episode from early August, Claire Cahill from The Zebra shared what it's like to be a data product manager at a company where data is the key to success.
As the year winds down, we're revisiting our favorite (and most popular) episodes exploring some of the more unique data roles out there. Next year, we hope to keep bringing guests like Claire onto the show, and we want to know: what are you curious about? Whose story would you like to hear? Do you have an interesting perspective to share? Drop us a line at [email protected]. We'd love to hear from you.
In this episode, you'll hear:
* The characteristics of a great data product manager and how you can land the same role
* Who data product managers work with on a daily basis
* Whether a good podcasting mic really makes a difference (spoiler: it does)
Earlier this year, our podcast began with an ambitious episode titled “The Future of Data Management.” We’ve covered a lot of ground since then, from career paths and culture changes to data governance and data policy. In our final Catalog & Cocktails show of 2020, Juan and Tim review some of the hottest topics in the dataverse and look forward to what’s new and exciting next year.
YOU may recognize that your company needs a data catalog, but does your boss get it? Can you justify the investment and determine how quickly and what kind of return you’ll get? These may seem like daunting questions, but do not fear!
In this episode, Juan and Tim will discuss how to calculate your data catalog ROI, showing you how to measure a catalog’s ability to boost revenue and productivity while reducing risk. If you need to make a business case for an enterprise data catalog, don’t miss this episode!
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What’s the secret behind Airbnb’s famously data-driven culture? It’s the company’s ability to provide all employees - not just the ‘data people’ - the ability to discover, understand, and trust data. Join Juan, Tim, and special guest Jeff Feng, product lead at Airbnb, to learn how the vacation experience juggernaut designed and developed its enterprise data catalog, DataPortal.
Whether you’re still unclear on the business value of a data catalog, or debating whether to build or buy, do not miss this episode.
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Master data management (MDM) sits at the intersection of metadata and data and has a lot in common with data integration, data modeling, and knowledge building use cases. It’s “old school” technology that even today confuses many data leaders. But... is it still relevant? Should it be part of my data governance strategy?
In this episode, Tim and Juan discuss the merits of MDM, how it fits into metadata and governance concepts, and how it may evolve (or not) in the future.
The latest 2020 Data & AI Landscape now includes 80 boxes, each featuring anywhere from 10-30 vendor offerings. How do you navigate this landscape? Where do you start? And how do you know when you’re done? Clearly there’s no one-size-fits-all data and analytics solution, and it‘s daunting to assemble the right infrastructure and applications stack to address your evolving business needs.
In this episode, Juan and Tim discuss the diverse data landscape and share thoughts on how to navigate and evaluate the myriad offerings.
“I love documentation!!” … said no one. But let’s be honest, what’s worse: having no documentation or having bad/outdated documentation? To make the situation even more awkward, documentation seems to often be nothing more than an afterthought for metadata and data projects. As much as we may dislike creating and maintaining documentation, it is (regrettably, unfortunately, critically) a necessary element that helps others consume data.
In this episode Juan and Tim discuss the do’s and don'ts of documentation. They're joined by Will Briggs, a data.world solutions engineer, who shares his tips and tricks to make documentation fun... seriously. We promise.
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As always, you're welcome to join us on Zoom each week as we record the live episode. Visit data.world/resources/webinars/catalog-and-cocktails/ to sign up. Then, stick around for an open conversation with our hosts. Hope to see you there!
Does the very idea of creating and managing new data assets keep you up at night? Do you get goosebumps just thinking about the state of your column headers? Never fear: there’s an effective way to battle your data and metadata demons. Join Tim and Juan for this spooktacular episode on agile data spirits—er, sprints. We’ll share tips on how to create data assets using an agile, iterative, and inclusive approach.
Disclaimer: this episode may include gory details of data and metadata management, unfortunate Halloween puns, and the Corpse of Traditional Data Governance. Listen at your own risk.
When you think about enterprise data, the data associated directly with your company and its customers probably comes to mind. But what about data acquired from open data portals or third-party brokers?
External data is the fastest growing segment of enterprise data: it often provides the missing bit of crucial context that improves your decision making. But because this type of data doesn’t come from their own internal systems, companies often struggle with data management. In this episode, Tim and Juan are joined by Jeremy Baksht from Ascential to discuss the ins and outs of external data acquisition and how enterprises should prepare for data marketplaces.
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As always, you're welcome to join us on Zoom each week as we record the live episode. Visit data.world/resources/webinars/catalog-and-cocktails/ to sign up. Then, stick around for an open conversation with our hosts. Hope to see you there!
Is your data culture a drag? Turning it around requires you to be bold and take action. Join Tim and Juan as they discuss examples of what you should and shouldn’t do, and how to accelerate the transition to data awesomeness. You'll hear actual examples of good (and bad) data culture along with specific steps you can take to improve your own company's data culture.
As always, you're welcome to join us on Zoom each week as we record the live episode. Visit data.world/resources/webinars/catalog-and-cocktails/ to sign up. Then, stick around for an open conversation with our hosts. Hope to see you there!
Since 1848, The Associated Press has been counting and reporting the votes in US elections. But they haven’t always done it the same way. As voter behavior changed over time, AP has continued to evolve their process to provide neutral, third party analysis of our most critical elections. Enterprises have much to learn from how one of the most well known global news agencies has created a data culture that lets them stay agile and keep their approach aligned with the realities of our times. Join Tim, Juan, and veteran election "race caller" Dwayne Desaulniers to hear how it's done.
Have you ever heard someone call data a "team sport"? The comparison makes sense: you can’t be successful on your own, you need to work well with peers, you run up against tough opposing forces. But data work is so much more. Join Tim and Juan as they discuss their favorite fundamentals of data culture and why companies often forget to think about them.
Juan and Tim recap the biggest ideas and perspectives shared at this year's data.world summit. In a whirlwind half hour, we boil down insights from a long list of trailblazing data and analytics leaders, including former US Chief Data Scientist DJ Patil, three-time Chief Data Officer Amy Gershkoff Bolles, CEO of PoolParty Software Andreas Blumauer, and more. Oh, and if you're curious about Juan's garage bar, see it for yourself at next week's live broadcast.
* Watch each episode being recorded Wednesdays at 4 pm CT, then stay for a virtual afterparty: https://data.world/resources/webinars/catalog-and-cocktails.
* Missed the summit? Catch up and share your own favorite moments: https://data.world/events/summit
Get excited. A half day of new ideas, practical guidance, and journeys into the latest innovations in data practices, technology, and leadership, headlined by DJ Patil (former US Chief Data Scientist) and Amy Gershkoff-Bolles (Chief Data Officer, Bit.ly). All that and more at our inaugural digital event, data.world summit, on September 23rd, 2020.
Register now for free at: https://data.world/events/summit/
Data catalogs are foundational to a successful enterprise data management strategy. But, should you buy one off the rack or build it yourself using open source tools? In this episode, Tim and Juan will debate on build vs buy. Juan will advocate for buy while Tim will champion the build. Who will win?
Visit data.world/resources/webinars/catalog-and-cocktails/ to watch and participate in the live program
Enterprises are looking to ML/AI innovations in data management to accelerate their data strategies and achieve critical business goals. But how much of what we hear about ML/AI is real, and how much is hype? In this episode, Tim and Juan will explore how automation makes data catalogs more powerful and challenge some conventional thinking.
The power of the crowd is everywhere these days: we crowdsource products, commercials, and (putting possibly misplaced trust in our fellow humans) the next big snack food flavor. In this episode, Tim and Juan talk about how to apply the best parts of crowdsourcing to enterprise data management. This inclusive approach empowers everyone to participate in data documentation and analysis and continuously improve your company’s knowledge base. We promise.
You can also join us live in the virtual studio every Wednesday for advance access to the next episode. Then, enjoy an open Q&A with our hosts, guests, and other attendees to share your own perspective, learn from your peers, and talk shop with other data professionals. See you there!
https://data.world/resources/webinars/catalog-and-cocktails
Tim and Juan are joined by special guests Dean Allemang, Fabien Gandon, and James Handler to discuss their latest book: Semantic Web for the Working Ontologist. Together, these experts look at the past, the present, and the future of the semantic web and debate whether it can truly become the universal medium to exchange data and knowledge across the enterprise.
Oh, you'll also hear references to a discount on your very own copy of Dean, Fabien, and James' book. Sorry: that was exclusively for our live listeners. But to get access to upcoming offers and experts, join us every Wednesday as we record these episodes live (virtually), followed by a casual off-the-record conversation where you can ask questions, share your point of view, and network with both your peers and our panelists. Sign up here to learn more: https://data.world/resources/webinars/catalog-and-cocktails/
Juan and Tim take on all the challenges of data quality in the enterprise. Commiserate with real life horror stories and learn solutions and best practices as we dive deep on a fundamental aspect of data management.
You can also join us live in the virtual studio every Wednesday for advance access to the next episode. Then, enjoy an open Q&A with our hosts, guests, and other attendees to share your own perspective, learn from your peers, and talk shop with other data professionals. See you there!
What comes first: the data warehouse or the data catalog? It’s a vexing chicken and egg question that data teams must answer. Do you build a data lake/warehouse first and then catalog the data, or should you catalog your data before kicking off your warehouse initiative? Join Juan and Tim as they discuss why and how you can and should do both at the same time. This week's special guest: Jon Loyens, data.world's CPO, co-founder, and co-creator of this podcast's theme song.
This 30-minute episode will cover:
Sign up to watch as next week's episode is recorded live, then join in an exclusive live Q&A with our hosts!
Who’s on your data team? In Episode 4, we talked about data producers and data consumers. In this episode, we’ll explore how these various personas interact and why we believe a data product manager should sit right smack in the middle. Join Juan, Tim, and Claire Cahill (Director of Product, Data) from The Zebra, for an engaging discussion on this emerging data discipline.
This 30-minute episode will also feature:
Sign up to watch as next week's episode is recorded live, then join in an exclusive live Q&A with our hosts!
We cover a lot of ground in Catalog & Cocktails: from data catalogs to data governance, personas, lineage, policy, knowledge graphs, and more. That’s because data management is a broad discipline with so many people, tools, and methodologies. Sorting it all out is tough, and many companies are inclined to ”boil the ocean.”
In this episode, Tim and Juan look at how agile data governance provides a roadmap for your successful data journey... without boiling the ocean.
60% of organizations will use data catalogs by 2023. This prediction by IDC suggests a large number of companies are still using manual and complex processes to make sense of data. This includes standing up multiple data lakes, disparate database technologies, and a rash of BI tools. The struggle is real. So is the benefit of an enterprise data catalog.
Join Juan, Tim, and Stewart Coerver, director of sales engineering at data.world, to talk about how to untangle the data mess in your organization. Don’t get caught between an IT agenda (cost optimization, governance, status quo approaches, etc.) and business users trying to deliver meaningful and timely insights.
The coronavirus pandemic is also a case study in public data. Everywhere we look we find statistics: number of coronavirus cases, unemployment levels, economic predictions, etc. But this unprecedented access to data also leaves us with lots of questions:
In episode 9, Tim, Juan, and Anoop Lalla, former VP Enterprise Data and Analytics at Workday, chat about data governance and how organizations can deliver meaningful and accurate analysis today and in a post-pandemic future.
Successful enterprises understand the importance of data-informed decisions. But what role does data play in government affairs?
In episode 8, Juan and Tim are joined by Corinna Turbes from the Data Coalition to explore the processes, challenges, and outcomes of data policy. Together, we’ll look at how data impacts legislative actions (and vice versa) and how these policies affect businesses and individual citizens.
How can you be certain the data you’re working with is trusted, up-to-date and understandable?
Data lineage tells you where data originated, how it's used, and what transformations are applied as it flows from data sources and ETL workflows to downstream data marts and dashboards. In episode 7, Tim, Juan, and special guest Ernie Ostic from MANTA discuss how mapping data - and all its associated metadata and dependencies - leads to cleaner analysis and better business decisions.
What do companies like Airbnb, Google, and Lyft have in common? They put knowledge graphs at the center of their metadata and data strategy. In episode 6, Tim and Juan talk about knowledge graph technology - how it works, why it works, and why it should be part of your metadata and data management strategy.
Last week we chatted about data producers, data consumers and the need for a data product manager; and their pain points. In this episode, we will chat how these pain points should be addressed by a data catalog in order to provide value to data teams. Juan and Tim will compare and contrast old-world data access and collaboration techniques with a modern approach.
You don’t have to have the word “data” in your title to be a data person. For example, Juan and Tim don’t, but they are very much part of our data team. In this episode, we will chat about the myriad personas that interact with data, from producers to consumers and everything in between.
Every hero has an origin story. In episode three, data.world CTO and co-founder Bryon Jacob joins Juan and Tim to share how data integration nightmares in a prior role put him on the path to data and metadata enlightenment.
Join Juan and Tim for a deeper dive on data catalogs. This episode will look at how catalogs can address the continuum of metadata and data management and give you an achievable starting point on your journey to understanding all your data.
The data landscape is constantly evolving: Data warehouses, big data, data lakes. How did we get here? Where is it all heading? Step up to the bar, and join Juan Sequeda and Tim Gasper as they discuss the future of enterprise data management.
En liten tjänst av I'm With Friends. Finns även på engelska.