À PROPOS DE CET ÉPISODE
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.
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RECHERCHER LES ÉPISODES PASSÉS
Rechercher les épisodes précédents de The Analytics Engineering Podcast.
AUTRES ÉPISODES DANS CE PODCAST
The last time Ramp's Ian Macomber joined the show, the episode was titled, "Ramp's $8 billion data strategy." Ramp is now valued at $44 billion, and the data team's job has completely changed. Ian Macomber returns to talk with Tristan Handy about self-serve analytics at 50x scale, routing agents th…
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 ful…
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 beco…
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 …
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