Catalog & Cocktails

Where it’s always happy hour.

Episode 13: A data management chicken and egg

August 12th at 4:00 pm CDT

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 where they will explore why and how you can and should do both at the same time.

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


Don’t forget to stick around for the Catalog & Cocktails Afterparty to mix and mingle with your hosts, our special guest, and your data management peers. You’ll have a chance to ask questions, share your point of view, and join what’s always an interesting, informative open-floor discussion. See you there.

Catalog & Cocktails is an open Zoom call. That means everyone who joins can actively participate. The first 30-minutes of this call will be recorded and available on-demand on the web site. By registering, you consent to have your name, likeness, and participation recorded and shared. The Catalog & Cocktails Afterparty will not be recorded.

Get your invite

Listen to episodes you might have missed


Tim Gasper

Director of Product Management

Juan Sequeda

Principal Scientist

Check out these other helpful resources


Collective Data Empowerment

Learn how to make everyone more productive with data—not just the data elite.

Get the report

Case Study

The Associated Press

Learn how AP used to double data production and reach. Get the case study

Case Study

Square Panda

Learn how Square Panda gets data to the people that need it, fast.

Get the case study


How Linked Data Creates Data Cultures

Prepare for a new understanding of what’s possible. Linked Data changes everything.

Get the report


Modern Data Project Checklist

Want effective, consistent, fast data projects company-wide? Start with this.

Get the checklist


Enterprise Data Tech Stack Audit

In order to bring everyone together to find, share, and use data more effectively, you need to know what tools they use today.

Get the Audit