INFORMAZIONI SU QUESTO EPISODIO
Shridhar Iyer spent more than 13 years inside Meta's data organization, most recently leading AI and the data stack. He joins Tristan Handy to talk about how deleting a single column can save millions at Meta scale, the abstraction stack that quietly powers the company, and the two steps every company needs to become AI-native. Plus a detour through the hard problem of consciousness.
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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CERCA TRA GLI EPISODI PASSATI
Cerca gli episodi passati di The Analytics Engineering Podcast.
ALTRI EPISODI IN QUESTO PODCAST
Something new. Tristan Handy is joined by Jason Ganz for the first Roundup, a recurring conversation about the stories moving the ecosystem right now. This time: the OpenAI model that escaped its sandbox and hacked Hugging Face, Moonshot's Kimi K3 and what a restrictive license on open weights real…
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.
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…
Jeremiah Lowin built FastMCP as a side project days after Anthropic announced the Model Context Protocol. It's now downloaded millions of times a day. He joins Tristan Handy on why a skill file is a polite note rather than a workflow engine, why enterprises are choosing MCP over CLIs, and why the b…
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