The Analytics Engineering Podcast

nao co-founder and CEO Claire Gouze shares a practical playbook for building a context layer your agents can actually rely on.
For full show notes and to read the podcast's companion newsletter, head to https://roundup.getdbt.com.
The Analytics Engineering Podcast is sponsored by dbt Labs.

Jordan Tigani helped build BigQuery, then left to bet that most data isn't big. Three years on, agents are proving him right. The MotherDuck CEO joins Tristan Handy on why local-first databases fit the agent era, and what an "agent swarm for data management" looks like.
For full show notes and to read the podcast's companion newsletter, head to https://roundup.getdbt.com.
The Analytics Engineering Podcast is sponsored by dbt Labs.

Tristan sits down with Anders Swanson, a developer experience advocate at dbt Labs, to talk about the state of the Apache Iceberg ecosystem. They unpack the "open standards" shift, define the core building blocks (query engines, object stores, catalogs), and dig into why external catalogs have become a fourth namespace tier across platforms. Anders outlines a pragmatic, phased adoption model for Iceberg integrations, explains why metadata performance and resiliency are hard requirements, and clarifies why vended credentials exist and what they solve.
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.

Tristan talks with Russell Spitzer, a PMC member of Apache Iceberg and principal engineer at Snowflake, about the evolution of open table formats and the catalog layer. They dig into identity and access at the catalog layer and why consensus‑driven standards make interoperability possible.
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.

Tristan talks with Lauren Anderson, Senior Director for Okta's Enterprise Data Platform. Lauren shares how identity sits at the center of two seismic shifts in data—AI agents and the open data lake—and why central governance and a shared semantic layer are critical. Lauren lays out how analytics engineers and data engineers should divide responsibilities as agents begin to write a growing share of analytical queries.
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.