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Catalog & Cocktails

Catalog & Cocktails

By data.world

Listed in the TOP 3 Knowledge Management Podcasts You Must Follow in 2021, Catalog and Cocktails is an honest, no-bs, non-salesy conversation about enterprise data management and analytics. This is your 30-minute elixir containing everything interesting about data and metadata management, DataOps, architecture, and more. Join Juan Sequeda and Tim Gasper to explore emerging topics and hear from visionary leaders. Visit data.world/podcasts/ to watch and participate in the live program.
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Agile like a fox, but for data. W/Shane Gibson from AgileData.io

Catalog & Cocktails

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Season 3 Finale
Season 3 Finale
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!
01:04:55
June 30, 2022
Data Models are Divas w/ Ergest Xheblati
Data Models are Divas w/ Ergest Xheblati
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: How data modeling is going to change the world moving forward. How to start in data modeling Why are data models such freakin divas?
01:07:30
June 23, 2022
Takeaways with Ergest Xheblati
Takeaways with Ergest Xheblati
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.
19:21
June 23, 2022
Don't let good metadata go to waste w/ Peter Kapur
Don't let good metadata go to waste w/ Peter Kapur
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.
01:05:52
June 16, 2022
Takeaways with Peter Kapur
Takeaways with Peter Kapur
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.
13:23
June 16, 2022
Getting all meta about data w/ Sanjeev Mohan
Getting all meta about data w/ Sanjeev Mohan
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: Visions of a data catalog, the ordinary and profound Who needs lineage and why In the Magic Quadrant of summer foods, what goes in the leaders quadrant, and what’s in niche?
01:05:52
June 09, 2022
Takeaways with Sanjeev Mohan
Takeaways with Sanjeev Mohan
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.
15:45
June 09, 2022
Does our understanding of data bias our analytics outcomes?
Does our understanding of data bias our analytics outcomes?
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: What responsibilities companies and people have to curb information bias How hypothesis testing and experimentation can improve data work What’s the most egregious example of information bias in the wild?
01:05:52
June 02, 2022
Takeaways with Ciaran Dynes
Takeaways with Ciaran Dynes
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.
16:56
June 02, 2022
The Data Entrepreneur’s Essentials w/ Brett Hurt
The Data Entrepreneur’s Essentials w/ Brett Hurt
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: How to hire and retain great people What we can all learn from failure Recommendations for wines under $20
01:08:06
May 26, 2022
Takeaways with Brett Hurt
Takeaways with Brett Hurt
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.
18:04
May 26, 2022
A Roadmap to Data Mesh Success w/ Omar Khawaja
A Roadmap to Data Mesh Success w/ Omar Khawaja
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: How to identify potential use cases and pick the one to prioritize How to think about ownership when data and tools are widely distributed You’ll be at Snowflake Summit in Las Vegas next month. So will we. What’s the best buffet food?
01:05:13
May 19, 2022
Takeaways with Omar Khawaja
Takeaways with Omar Khawaja
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: How to identify potential use cases and pick the one to prioritize How to think about ownership when data and tools are widely distributed You’ll be at Snowflake Summit in Las Vegas next month. So will we. What’s the best buffet food?
16:38
May 19, 2022
Is your Modern Data Stack delivering value? w/ Sarah Krasnik
Is your Modern Data Stack delivering value? w/ Sarah Krasnik
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: How to think about “minimum viable data stack” vs. modern data stack Criteria for evaluating the minimum viability of data tools You once compared data self-service to shopping for frozen yogurt. Defend your most controversial frozen yogurt take.
57:51
May 12, 2022
S3E18 Takeaways with Sarah Krasnik
S3E18 Takeaways with Sarah Krasnik
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.
14:24
May 12, 2022
Automating the Enterprise: LIVE from the Knowledge Graph Conference w/ Francois Scharffe
Automating the Enterprise: LIVE from the Knowledge Graph Conference w/ Francois Scharffe
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: How to apply knowledge graphs to address critical business problems What automation looks like when powered by a knowledge graph What kind of graph is the New York Subway system?
01:06:05
May 05, 2022
S3E17 Takeaways with Francois Scharffe
S3E17 Takeaways with Francois Scharffe
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.
11:31
May 05, 2022
A layered approach to data meaning and measurement w/ Nick Handel
A layered approach to data meaning and measurement w/ Nick Handel
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: Clear definitions for semantic layer and metrics layer and the relationships between them How to design your architecture to take advantage of semantics and metrics Cake, dip, or sandwich. What is the best layered food?
01:06:05
April 28, 2022
S3E16 Takeaways with Nick Handel
S3E16 Takeaways with Nick Handel
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.
15:17
April 28, 2022
Everybody’s an imposter sometimes w/ Steve Perry
Everybody’s an imposter sometimes w/ Steve Perry
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: How to get over your fear of saying something stupid in a public square Success metrics for data leaders What’s an awkward conversation you’ve walked into and quickly realized you don’t belong?
01:04:06
April 21, 2022
S3E15 Takeaways with Steve Perry
S3E15 Takeaways with Steve Perry
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.
14:11
April 21, 2022
Why are we so bad at this modern data stack? w/ Chad Sanderson.
Why are we so bad at this modern data stack? w/ Chad Sanderson.
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: Lessons learned from Amazon and Facebook on building services before data How to align your data team with business goals Getting data architecture right often requires paying down legacy debt. What’s something you recently purchased that you maybe shouldn't have?
01:04:35
April 14, 2022
S3E14 Takeaways with Chad Sanderson
S3E14 Takeaways with Chad Sanderson
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.
14:14
April 14, 2022
Can data policy drive data productivity? w/ Nong Li
Can data policy drive data productivity? w/ Nong Li
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: How to think about policy as it relates to GDPR, CCPA, and the right to be forgotten The impact of the modern data stack on data policy One of the lyrics In the 1990 Depeche Mode song, “Policy of Truth,” is “Never again Is what you swore, the time before.” What’s something you swore you’d never do again, but did it anyway?
59:24
April 07, 2022
S3E13 Takeaways with Nong Li
S3E13 Takeaways with Nong Li
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.
12:48
April 07, 2022
The future of data is knowledge w/ Bob Muglia
The future of data is knowledge w/ Bob Muglia
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: Demystifying the approaches between lakehouses and warehouses Interesting developments in data governance technology You were the first product manager for SQL Server. What’s your favorite movie SQL?
59:16
March 31, 2022
S3E12 Takeaways with Bob Muglia
S3E12 Takeaways with Bob Muglia
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.
17:47
March 31, 2022
Agile like a fox, but for data. W/Shane Gibson from AgileData.io
Agile like a fox, but for data. W/Shane Gibson from AgileData.io
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: How and why you should apply agile practices to data Why your sprints should actually be three weeks, not two As a longtime fan of the podcast, who’s your favorite host, and why isn’t it Tim?
58:33
March 17, 2022
S3E11 Takeaways with Shane Gibson
S3E11 Takeaways with Shane Gibson
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.
02:47
March 17, 2022
Your privacy is my currency with Patricia Thaine from Private AI
Your privacy is my currency with Patricia Thaine from Private AI
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: Examples of privacy done right and wrong How to balance privacy and customer experience Which company’s privacy policy is required reading for insomniacs?
01:00:07
March 10, 2022
S3E10 Takeaways with Patricia Thaine
S3E10 Takeaways with Patricia Thaine
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.
10:35
March 10, 2022
Are you swimming upstream by not streaming data? w/ Arjun Narayan from Materialize
Are you swimming upstream by not streaming data? w/ Arjun Narayan from Materialize
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: Reasons why streaming analytics still kind of sucks The future of batch processing in the modern data stack Brook, creek, or river: Which is the best stream and why?
58:26
March 03, 2022
S3E9 Takeaways with Arjun Narayan
S3E9 Takeaways with Arjun Narayan
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.
10:06
March 03, 2022
Why are data transformations such a big deal? Live from the dbt Coalesce Happy Hour.
Why are data transformations such a big deal? Live from the dbt Coalesce Happy Hour.
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. This episode will feature: Why is dbt such a big deal? Data teams and the role of an Analytics Engineer What have you transformed (you, someone else, a product, …) in your own life?
01:03:18
February 24, 2022
The easiest data is always the hardest to model w/ Karen Lopez
The easiest data is always the hardest to model w/ Karen Lopez
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?!?” This episode will feature: Why modeling simple things is harder than it seems, and what we can do about it The best and worst data modeling fails If Sports Illustrated had an issue dedicated to data models, what would be on the cover?
01:03:18
February 17, 2022
S3E7 Takeaways with Karen Lopez
S3E7 Takeaways with Karen Lopez
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.
09:24
February 17, 2022
The three most important letters in data & analytics are W-H-Y w/ Luke Slotwinski from Prologis
The three most important letters in data & analytics are W-H-Y w/ Luke Slotwinski from Prologis
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. This episode will feature: Questions everyone should be asking about their data Critical tools and skills for diving deeper into data and analysis Why did the chicken cross the road? Data-driven answers only, please.
57:12
February 10, 2022
S3E6 Takeaways with Luke Slotwinski
S3E6 Takeaways with Luke Slotwinski
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.
10:24
February 10, 2022
Can Agile Practices Disrupt Data Governance? w/ Laura Madsen from Moxy Analytics
Can Agile Practices Disrupt Data Governance? w/ Laura Madsen from Moxy Analytics
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. This episode will feature: How to talk to your execs about agile data governance How to measure the effectiveness of your governance program What’s your favorite story of data governance malpractice?
58:21
February 03, 2022
S3E5 Takeways with Laura Madsen
S3E5 Takeways with Laura Madsen
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.
08:09
February 03, 2022
Can the Data Mesh be Governed? w/ Dora Boussias
Can the Data Mesh be Governed? w/ Dora Boussias
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. This episode will feature: The difference between data mesh and virtualization Best practices for federated data governance How long before we start seeing companies offering a “data mesh” as a product?
58:21
January 27, 2022
S3E4 Takeaways with Dora Boussias
S3E4 Takeaways with Dora Boussias
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.
11:18
January 27, 2022
What good is a Metrics Layer? w/ Benn Stancil from Mode
What good is a Metrics Layer? w/ Benn Stancil from Mode
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. This episode will feature: Where does a metrics layer fit within the modern data stack What tools and skills are needed to make this a reliable part of your data strategy In honor of the Friday Fight post, what is the most controversial post/blog you’ve ever written, and what kind of feedback did you receive?
01:00:20
January 20, 2022
S3E3 Takeaways with Benn Stancil
S3E3 Takeaways with Benn Stancil
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.
11:18
January 20, 2022
Modern Data Work at Drizly w/ Emily Hawkins
Modern Data Work at Drizly w/ Emily Hawkins
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. This episode will feature: The role of analytics engineer on a high-performing data team The evolving role of self-service BI What’s a delivery service you wish we had today that doesn’t exist yet?
59:47
January 13, 2022
S3E2 Takeaways with Emily Hawkins
S3E2 Takeaways with Emily Hawkins
Juan and Tim sit down for Catalog & Cocktails with Emily Hawkins from Drizly. This Takeaway episode will feature the summary of the upcoming episode.
11:18
January 13, 2022
Will 2022 change how we think about data? w/ Sarah Catanzaro
Will 2022 change how we think about data? w/ Sarah Catanzaro
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. This episode will feature: Suggestions on organizational design that keeps data closer to the business teams. Ways to address data gaps in strategic decision making What was the best/worst prediction you made at the start of 2021?
01:04:09
January 06, 2022
Season Three Premier Takeaways with Sarah Catanzaro
Season Three Premier Takeaways with Sarah Catanzaro
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.
11:19
January 06, 2022
Season Two Finale!!!
Season Two Finale!!!
Let's wrap Season Two of Catalog & Cocktails with the Takeaways of the Takeaways!
01:07:51
December 23, 2021
Please be quiet. The machines are talking. w/ Steve Whitla
Please be quiet. The machines are talking. w/ Steve Whitla
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. Also in this episode: The role of semantics in reaching shared meaning What constitutes "understanding" when it comes to machine to machine communication Better talking machine: K.I.T.T. or Johnny 5?
01:00:01
December 16, 2021
What happens when everyone is a data worker? w/ Kelly Wright from Gong
What happens when everyone is a data worker? w/ Kelly Wright from Gong
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. This episode will feature: Ways organizations can maximize the value of data they are already collecting How to address challenges with data and application sprawl The Gong Show was a popular TV talent show in the 70s. What was your favorite game show growing up?
01:00:47
December 09, 2021
Modern Data Stack: Technology, Methodology, or both? w/ Nick Schrock
Modern Data Stack: Technology, Methodology, or both? w/ Nick Schrock
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. This episode will feature: Is modern data stack a methodology or a set of disparate cloud technologies? Thoughts on consolidation among MDS tools Describe your reaction upon glancing at Matt Turck’s latest data landscape diagram
59:55
December 02, 2021
Long live the monolith? w/ Andy Palmer from Tamr
Long live the monolith? w/ Andy Palmer from Tamr
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. This episode will feature: How DataOps will reshape the next wave of best-of-breed systems Will monoliths make a comeback? What was a big purchase you made that you almost immediately regretted?
54:41
November 18, 2021
Is self-service BI the answer? w/ Cindi Howson
Is self-service BI the answer? w/ Cindi Howson
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. This episode will feature: How BI in the enterprise evolved from the domain of the few to a tool for the many Why change management is critical for improving data cultures What’s something that’s not self-service today but probably should be?
59:07
November 11, 2021
Data tools: the good, the bad, and the ugly w/ Erik Bernhardsson
Data tools: the good, the bad, and the ugly w/ Erik Bernhardsson
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. This episode will feature: An overview of data tool types and who they serve How to define “good, bad and ugly” What’s your favorite spaghetti western movie?
56:59
November 04, 2021
Data is the new... Herman Miller Aeron Chair? w/ Doug Laney
Data is the new... Herman Miller Aeron Chair? w/ Doug Laney
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. This episode will feature: Tips for how to truly measure the value of all your information assets Steps for getting your information house in order Is data the new oil, bacon, gold, oxygen, currency, or sand?
55:59
October 28, 2021
The Data Mesh Debate w/ hosts Juan and Tim
The Data Mesh Debate w/ hosts Juan and Tim
“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. This episode will feature: The definitive(ish) definition of data mesh A look at why organizations struggle to understand and implement it What is your data “hot take” that everyone else disagrees with?
55:25
October 21, 2021
Sure, you're responsible, but are you ethical? w/ Partha Srinivasa
Sure, you're responsible, but are you ethical? w/ Partha Srinivasa
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. This episode will feature: Common misperceptions about data and ethics How to build ethics into your data practice Can you be both ethical and a fan of the morally dubious, Seinfeld?
58:30
October 14, 2021
A data analyst, scientist, and engineer walk into a bar...w/ Danielle Oberdier
A data analyst, scientist, and engineer walk into a bar...w/ Danielle Oberdier
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? This episode will feature: Certifications that make you more marketable How to stand among your peers in a crowded job market What was the very first job you ever had?
59:34
October 07, 2021
Do we have a data infrastructure crisis? w/ Mammad Zadeh
Do we have a data infrastructure crisis? w/ Mammad Zadeh
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. This episode will feature: A look at the rocky road ahead for CDOs How to effectively scale data teams What's your crisis comfort food?
57:11
September 30, 2021
Fashion Week...but for data w/ Jans Aasman
Fashion Week...but for data w/ Jans Aasman
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 ________________ 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. This episode will feature: Data modeling approaches you should consider Tips to avoid data modeling pitfalls Juan and Tim striking their best model pose
56:33
September 23, 2021
How to think about data value w/ Lars Albertsson
How to think about data value w/ Lars Albertsson
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. This episode will feature: Companies that have truly unlocked data value and how they did it Common missteps along the data maturity journey What have you been practicing... but not actually getting any better at?
59:34
September 16, 2021
What’s the deal with Reverse ETL? w/ Tejas Manohar
What’s the deal with Reverse ETL? w/ Tejas Manohar
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. This episode will feature: The evolution of data integration pipelines Use cases for Reverse ETL What other acronyms make you smh?
41:52
September 09, 2021
The Era of Data Usage w/ Mike Ferguson
The Era of Data Usage w/ Mike Ferguson
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. This episode will feature: Data usage do’s and don’ts How to get your company aligned on effective data use and measurement? What’s the most expensive thing you bought that you’ve never used?
59:34
September 02, 2021
Can't spell BUZZWORDS without BS w/ Kirk Borne of DataPrime AI
Can't spell BUZZWORDS without BS w/ Kirk Borne of DataPrime AI
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. This episode will feature: What is industry 4.0? How can an edge be intelligent? What is the buzzword that makes you want to pull your hair out the most?
57:37
August 26, 2021
Free-range, grass-fed, open-source data w/ Denise Gosnell of Datastax
Free-range, grass-fed, open-source data w/ Denise Gosnell of Datastax
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. This episode will feature: A glimpse into the future of open source data The difference between open source and open core What open source tool best personifies your personality?
59:03
August 19, 2021
Documents and Clouds and Graphs, Oh My! w/ Emil Eifrem, CEO of Neo4j
Documents and Clouds and Graphs, Oh My! w/ Emil Eifrem, CEO of Neo4j
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. This episode will feature: A look at database categories that may spring up over the next decade Positives and negatives of database standardization What’s changed the most about the hosts/guest over the past 10 years?
59:18
August 12, 2021
SEASON TWO KICKOFF w/ DJ PATIL
SEASON TWO KICKOFF w/ DJ PATIL
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. This episode will feature: Hot new job titles and emerging opportunities How to establish a new data culture built around hybrid work environments Favorite podcast, book, or show discovered during the Pandemic
57:47
August 04, 2021
Special Edition: Panel on Data Architecture at the Knowledge Graph Conference
Special Edition: Panel on Data Architecture at the Knowledge Graph Conference
*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.
58:55
July 06, 2021
SEASON ONE FINALE: Episode 50
SEASON ONE FINALE: Episode 50
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.
01:03:48
June 03, 2021
The Future of BI is AI
The Future of BI is AI
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. Other topics include: How companies can take advantage of the convergence of BI and AI Separating AI reality from AI fiction What one thing would you want to know about your own future?
41:00
May 27, 2021
Knowledge is Power: Knowledge Management meets Data Management
Knowledge is Power: Knowledge Management meets Data Management
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. Other topics include: How to best manage unstructured and structured data? Taxonomies, Knowledge Graphs: how does it fit? What is one piece of knowledge that you know NOW that you wish you knew when you were younger?
47:47
May 20, 2021
Don’t Treat your Data Stack like a Fine Wine
Don’t Treat your Data Stack like a Fine Wine
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. Other topics include: Obvious signs that it's time to change your data architecture How to prevent your data stack from becoming another silo Classic TV shows worth modernizing and rebooting
41:46
May 13, 2021
Data Organization: Reap what you Sow
Data Organization: Reap what you Sow
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... Other topics include: How to strike a balance between efficiency and resilience Structuring teams for continued success If you could grow a garden of anything, what would it be? (Not the obvious; money)
43:38
May 06, 2021
What's the Secret Recipe for DataOps?
What's the Secret Recipe for DataOps?
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. Other topics include: How to create the right DataOps culture Measuring the value of your DataOps strategy Worst reason you’ve been called into work on your day off
41:13
April 29, 2021
Why it’s time to mesh with your data architecture
Why it’s time to mesh with your data architecture
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. Other topics include: Key tools, technologies, and skills for adopting a data mesh What to do if you’re data mesh curious Inspiring architectural designs outside the data space
49:25
April 22, 2021
What do they teach at your Data Science U?
What do they teach at your Data Science U?
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. Other topics include: What universities get right and wrong about data science education What skills we should be teaching that we aren’t today What should be the mascot at Data Science University?
38:05
April 15, 2021
Power to the Data!
Power to the Data!
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. Other topics include: What it means to be data-centric How to undo decades of questionable data management practices Debate: French Revolution vs. American Revolution vs. Beatles Revolution
35:56
April 07, 2021
Building a great data team: Mission (Im)possible
Building a great data team: Mission (Im)possible
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. Other topics include: What roles and skills to prioritize Why diversity is critical What things do we wish would self-destruct
38:45
March 31, 2021
Does your data have a ‘born on’ date?
Does your data have a ‘born on’ date?
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: The origin story and evolution of data provenance Provenance standards every data person should know Which fictional character has the best origin story
37:38
March 30, 2021
Identity graph: the new customer 360
Identity graph: the new customer 360
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.
40:12
March 18, 2021
A modern approach to data transformation
A modern approach to data transformation
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?
37:45
March 11, 2021
Do you have data trust issues?
Do you have data trust issues?
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.
40:29
March 04, 2021
What does a Chief Data Officer do?
What does a Chief Data Officer do?
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.
36:54
February 25, 2021
Do you test your data?
Do you test your data?
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.
36:55
February 11, 2021
What can we learn from messy insurance data?
What can we learn from messy insurance data?
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?
36:19
February 04, 2021
Does your data governance strategy need a therapy session?
Does your data governance strategy need a therapy session?
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.
34:18
January 28, 2021
Is Your Data Fabric a Mesh?
Is Your Data Fabric a Mesh?
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. This episode will feature: Clear definitions for data fabric and data mesh Where these frameworks overlap, intersect, and chart their own course Tim’s excuses following a Cleveland Browns playoff loss
34:18
January 21, 2021
Has business intelligence jumped the shark? (with special guest Peter Bailis, CEO of Sisu Data)
Has business intelligence jumped the shark? (with special guest Peter Bailis, CEO of Sisu Data)
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? This episode will feature: The state of BI today The evolution of BI and why it’s no longer “the new black” Where analytics should be heading The data-driven culture and why it matters Tim and Juan’s New Year’s resolutions
36:44
January 14, 2021
Best of Catalog & Cocktails: 95% say exit polls don’t work. 15% say they do.
Best of Catalog & Cocktails: 95% say exit polls don’t work. 15% say they do.
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 podcast@data.world. We'd love to hear from you. Have a happy, healthy new year, everyone. We'll see you again in 2021.
35:22
December 31, 2020
Best of Catalog & Cocktails: Is it time to hire a data product manager?
Best of Catalog & Cocktails: Is it time to hire a data product manager?
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 podcast@data.world. 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)
33:11
December 24, 2020
Goodbye 2020, hello 2021
Goodbye 2020, hello 2021
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.
36:14
December 17, 2020
Getting your data bang for your catalog buck
Getting your data bang for your catalog buck
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! This episode will feature: Success metrics for a data catalog initiative Different methods for calculating catalog ROI What Juan and Tim like to cook
35:51
December 10, 2020
How Airbnb built its internal data catalog
How Airbnb built its internal data catalog
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. This episode will feature: The good, bad, and ugly of a build-it-yourself data catalog How data democratization can promote data literacy and deliver business value Juan talking about how much he misses flying
34:17
December 03, 2020
The Thanksgiving special
The Thanksgiving special
This week, much of the U.S. celebrates Thanksgiving, a holiday focused on gratitude and connection. In this short episode, Tim and Juan reflect on what they’re thankful for (including the community that’s grown around this podcast). Join our hosts as they relive their favorite highlights from past Catalog & Cocktails conversations and look forward to upcoming guests. P.S. Usually, we record this podcast in a live Zoom meeting that anyone can attend. We then stick around for a virtual “afterparty” to further discuss that week’s topic as a group. (See our bio for the link.) This week, we skipped that live Wednesday evening event to give our team time to focus on things away from the desk. We hope you’ll have an opportunity to do the same and that you too have many, many reasons to be thankful.
13:37
November 25, 2020
Master data management: hot or not?
Master data management: hot or not?
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. 
33:28
November 19, 2020
The data landscape is CRAZY.
The data landscape is CRAZY.
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.
33:39
November 12, 2020
Documentation matters
Documentation matters
“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. -- 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!
31:10
November 05, 2020
The Data Governance House of Horrors
The Data Governance House of Horrors
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. 
32:03
October 29, 2020
Your best data source may be outside your company
Your best data source may be outside your company
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. -- 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!
32:03
October 23, 2020
Time for a data culture makeover
Time for a data culture makeover
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!
33:44
October 19, 2020
95% say exit polls don’t work. 15% say they do.
95% say exit polls don’t work. 15% say they do.
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.
34:47
October 08, 2020
Data work is much bigger than a soccer match
Data work is much bigger than a soccer match
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.
32:19
September 30, 2020
What we learned at the first ever data.world summit
What we learned at the first ever data.world summit
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
33:12
September 24, 2020
Hear from DJ Patil and other leading thinkers at data.world summit
Hear from DJ Patil and other leading thinkers at data.world 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/
02:23
September 18, 2020
Data catalog Fight Night: build vs buy
Data catalog Fight Night: build vs buy
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
31:54
September 17, 2020
Should we salute our robot overlords?
Should we salute our robot overlords?
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.
28:51
September 14, 2020
Crowdsource your way to data empowerment
Crowdsource your way to data empowerment
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
29:54
September 04, 2020
Semantic Web for the Working Ontologist
Semantic Web for the Working Ontologist
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/
30:45
August 27, 2020
How dirty is your data?
How dirty is your data?
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!
31:06
August 20, 2020
A data management chicken and egg
A data management chicken and egg
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: The pros and cons of which project to tackle first How to get it right by applying agile methodologies Live Q&A and chat Sign up to watch as next week's episode is recorded live,  then join in an exclusive live Q&A with our hosts!
31:24
August 12, 2020
Is it time to hire a data product manager?
Is it time to hire a data product manager?
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: Characteristics of a data product manager What you need to know about knowledge science Sign up to watch as next week's episode is recorded live,  then join in an exclusive live Q&A with our hosts!
32:07
August 06, 2020
Get data governance right for once
Get data governance right for once
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.
30:59
July 30, 2020
Stuck in the middle: how to become an advocate for a data catalog and governance
Stuck in the middle: how to become an advocate for a data catalog and governance
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.
31:51
July 22, 2020
What the pandemic can teach us about data governance
What the pandemic can teach us about data governance
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: Can we trust the data? Is there unintentional bias in the data and analytical algorithms? What role does data governance play? 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.
30:48
July 15, 2020
How does data policy impact you?
How does data policy impact you?
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.
31:16
July 08, 2020
What's the story with data lineage?
What's the story with data lineage?
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.
30:14
July 01, 2020
What’s the deal with knowledge graphs?
What’s the deal with knowledge graphs?
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.
31:09
June 24, 2020
How does your data team get value from a data catalog?
How does your data team get value from a data catalog?
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.
31:31
June 17, 2020
Who’s on your data team?
Who’s on your data team?
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.
30:51
June 10, 2020
Data integration from the trenches
Data integration from the trenches
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.
31:13
May 27, 2020
Don't boil the ocean. Boil a fishbowl.
Don't boil the ocean. Boil a fishbowl.
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.
30:07
May 20, 2020
The future of data management
The future of data management
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.
34:15
May 13, 2020