CDC

Change data capture: log-based vs query-based, ordering, deletes and merge strategies. This path sequences the category's 6 resources by roadmap stage and composite score — work top-down inside each step.

Streaming

1. CDC Merge Designer 39.5 — Design a correct upsert/delete merge from a change stream.
2. Postgres CDC to Lakehouse 34.25 — Postgres CDC to Lakehouse
3. Stream changes, not tables — CDC from Postgres into the lakehouse 34.15 — Stream changes, not tables — CDC from Postgres into the lakehouse
4. Postgres → CDC → Kafka → Lakehouse 33.65 — Postgres → CDC → Kafka → Lakehouse
5. CDC stopped 29.25 — CDC stopped
6. Debezium Documentation 26.7 — Debezium Documentation

Documented prerequisites, deduplicated: skill-sql-review.

• Order change events deterministically
• Handle deletes (tombstones) without losing history
• Make the merge idempotent under replay
• Read the write-ahead log instead of polling source tables
• Order events by LSN and dedupe before merging
• Handle tombstones without losing history
• Configure a logical replication slot safely

Security-flagged: CDC Merge Designer, Postgres CDC to Lakehouse, Postgres → CDC → Kafka → Lakehouse, CDC stopped — review the security posture first. Verification on these records: 6 community. Nothing here is independently audited — the trust scan and your own review are the controls.

Phase 2 of the roadmap. Stage context: Streaming · side-by-side comparison · all learning topics