<b>Warehouse-native product analytics</b>

<b>Warehouse-native product analytics</b>

Six reads on the shift from Amplitude-style silos to querying your own data.

1. <i>Why we ripped out our analytics tool</i> — a team that moved everything into the warehouse, with cost numbers. Source: a SaaS engineering blog.
2. <i>The semantic layer, finally explained</i> — what it is and why metrics keep disagreeing without one. Source: Cube blog.
3. <i>Funnel queries in plain SQL</i> — copy-paste window functions for retention and conversion. Source: Mode notebook.
4. <i>Zero-copy analytics on Snowflake</i> — running product analytics without moving a byte. Source: Mitzu blog.
5. <i>The build-vs-buy spreadsheet</i> — honest TCO that includes the analyst's time. Source: Locally Optimistic.
6. <i>Reverse ETL completes the loop</i> — pushing cohorts back to lifecycle tools. Source: Census blog.

That's the stack for this week. Forward to a teammate.