Catalog & Cocktails: The Honest, No-BS Data Podcast
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.
Episodes
Thursday Jan 20, 2022
S3E3 Takeaways with Benn Stancil
Thursday Jan 20, 2022
Thursday Jan 20, 2022
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.
Thursday Jan 13, 2022
Modern Data Work at Drizly w/ Emily Hawkins
Thursday Jan 13, 2022
Thursday Jan 13, 2022
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?
Thursday Jan 13, 2022
S3E2 Takeaways with Emily Hawkins
Thursday Jan 13, 2022
Thursday Jan 13, 2022
Juan and Tim sit down for Catalog & Cocktails with Emily Hawkins from Drizly.
This Takeaway episode will feature the summary of the upcoming episode.
Thursday Jan 06, 2022
Will 2022 change how we think about data? w/ Sarah Catanzaro
Thursday Jan 06, 2022
Thursday Jan 06, 2022
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?
Thursday Jan 06, 2022
Season Three Premier Takeaways with Sarah Catanzaro
Thursday Jan 06, 2022
Thursday Jan 06, 2022
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.
Thursday Dec 23, 2021
Season Two Finale!!!
Thursday Dec 23, 2021
Thursday Dec 23, 2021
Let's wrap Season Two of Catalog & Cocktails with the Takeaways of the Takeaways!
Thursday Dec 16, 2021
Please be quiet. The machines are talking. w/ Steve Whitla
Thursday Dec 16, 2021
Thursday Dec 16, 2021
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?
Thursday Dec 09, 2021
What happens when everyone is a data worker? w/ Kelly Wright from Gong
Thursday Dec 09, 2021
Thursday Dec 09, 2021
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?
Thursday Dec 02, 2021
Modern Data Stack: Technology, Methodology, or both? w/ Nick Schrock
Thursday Dec 02, 2021
Thursday Dec 02, 2021
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
Thursday Nov 18, 2021
Long live the monolith? w/ Andy Palmer from Tamr
Thursday Nov 18, 2021
Thursday Nov 18, 2021
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?