One Database to Rule All Workloads? With Jon "Natty" Natkins of dbt Labs
About this episode
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.
Get every episode summarized
Each time The Analytics Engineering Podcast publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
Hosts & guests
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from The Analytics Engineering Podcast
The Iceberg ecosystem today (w/ Anders Swanson)
The Analytics Engineering Podcast
Apache Iceberg and the catalog layer (w/ Russell Spitzer)
The Analytics Engineering Podcast
AI and the data lake (w/ Lauren Anderson)
The Analytics Engineering Podcast
Inside Snowflake's AI roadmap (w/ Chris Child)
The Analytics Engineering Podcast