Data lessons from inside Meta (Shridhar Iyer)

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.