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

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, <a href='https://www.linkedin.com/in/schrockn/'>Nick Schrock</a>, founder of Elemental and creator of Dagster and GraphQL, to chat about all things MDS.
This episode will feature:
<ul><li>Is modern data stack a methodology or a set of disparate cloud technologies?</li>
 <li>Thoughts on consolidation among MDS tools</li>
</ul>
Describe your reaction upon glancing at Matt Turck’s latest <a href='https://mattturck.com/data2021/'>data landscape diagram</a>

Catalog and Cocktails is the honest, No-BS, non-sales-y podcast about data and analytics. This is your unfiltered chat about everything interesting in data and analytics. Join Juan Sequeda and Tim Gasper to explore emerging topics and hear from thought leaders, practitioners and executives across the data and analytics space.

Catalog and Cocktails is the honest, No-BS, non-sales-y podcast about data and analytics. This is your unfiltered chat about everything interesting in data and analytics. Join Juan Sequeda and Tim Gasper to explore emerging topics and hear from thought leaders, practitioners and executives across the data and analytics space.