The Bundling vs Unbundling Debate w/ Tristan, Benn Stancil and David Jayatillake
Explicit content warning
03/25/22 • 43 min
A debate has erupted on data Twitter and data Substack - should the modern data stack remain unbundled, or should it consolidate?
In this conversation, Benn Stancil (Mode), David Jayatillake (Avora) and our host Tristan Handy try to make some sense of this debate, and play with various future scenarios for the modern data stack.
For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.
The Analytics Engineering Podcast is sponsored by dbt Labs.
A debate has erupted on data Twitter and data Substack - should the modern data stack remain unbundled, or should it consolidate?
In this conversation, Benn Stancil (Mode), David Jayatillake (Avora) and our host Tristan Handy try to make some sense of this debate, and play with various future scenarios for the modern data stack.
For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.
The Analytics Engineering Podcast is sponsored by dbt Labs.
Previous Episode
One Database to Rule All Workloads? With Jon "Natty" Natkins of dbt Labs
Will the dream of a mythical database to handle all workloads (transactional + analytical) ever become a reality, or does it violate the laws of physics?
This question sparked a hearty debate internally at dbt Labs, and Jon "Natty" Natkins joins Julia here to continue the conversation.
Natty knows databases, and this episode will take you on a historical romp through the rise and fall of Hadoop, the transition to cloud data warehouses, and what's waiting for us next in database-land.
For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.
The Analytics Engineering Podcast is sponsored by dbt Labs.
Next Episode
The Hard Problems™️ of Data Observability w/ Kevin Hu of Metaplane
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Now as co-founder and CEO of Metaplane, a data observability startup, Kevin applies these same automated data discovery methods to help data teams keep their data healthy.
In this conversation with Tristan & Julia, Kevin wins the coveted award for “most crystal-clear explanations of complex technical concepts through physics analogy.”
For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.
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