Modern Data Stack: Technology, Methodology, or both? w/ Nick Schrock

This is a podcast episode titled, Modern Data Stack: Technology, Methodology, or both? w/ Nick Schrock. The summary for this episode is: <p>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?</p> <p>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/"><u>Nick Schrock</u></a>, founder of Elemental and creator of Dagster and GraphQL, to chat about all things MDS.</p> <p>This episode will feature:</p> <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> <p>Describe your reaction upon glancing at Matt Turck’s latest <a href="https://mattturck.com/data2021/"><u>data landscape diagram</u></a></p>