Data Cloud Weekly — Page 2

Snowpipe Streaming pushes rows directly; Snowpipe pulls files—fundamentally different architectures.

Snowflake automates incremental pipelines without hand-coded scheduling logic.

Destination-based pricing shields teams from bill surprises tied to data volume and sync frequency.

Stream changes from PostgreSQL and MySQL to Snowflake without missing a beat.

SOS speeds up narrow query patterns but runs continuous cost streams regardless of usage.

Set spending limits on warehouses before runaway costs become visible in your bill.

How to spot pruning failures and pick clustering keys that fix them.

Internal stages, external tables, and Iceberg trade off cost, speed, and control.

Split ETL and BI onto separate warehouses, sized up for one and out for the other.

Shared tables, schemas, or separate accounts: which isolation model fits.

Snowflake's Query Profile shows what a slow query actually did.