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What happens when a source adds, drops, or retypes a column mid-sync.
Wire anomaly detection to an activation job so bad records never leave the warehouse.
Assets, owners, descriptions and freshness in one catalog wired to your connectors.
Run status, model-level errors, and the PR comments that flag impacted models.
How a heavy replication job gets split across parallel syncs, and where to tune it.
Build a sync, map the fields, and set the guardrails before anything ships.
Follow one field from source, through dbt, to the dashboard it feeds.
Monitoring at the point of ingestion, and what happens when a sync is stopped.
From connection string to first sync, with table-level logs the whole way.
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