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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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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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면책 조항: 이 페이지에 포함된 팟캐스트와 작품은 dbt Labs, Inc.에서 가져온 것입니다. 이 팟캐스트는 소유자의 재산이며 Listen Notes, Inc.와 제휴하거나 보증하지 않습니다.