← 🗄️ Data & SQL Engineering
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Change Data Capture (CDC)
Change Data Capture streams row-level inserts, updates, and deletes out of a source database so downstream systems stay in near-real-time sync without full reloads. The strong form reads the database transaction log rather than polling tables, which captures deletes, preserves commit order, and adds almost no load to the source. The hard parts are ordering, tombstones for deletes, and applying the stream idempotently so a replay does not corrupt the target.
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RELATED CONCEPTS
LESSONS THAT TEACH THIS
Foundations of Forward Deployed EngineeringBuild an evidence map of an unfamiliar system28 min→The FDE EngagementChoose the integration path that meets the workflow and can be operated24 min→Foundations of Forward Deployed EngineeringLeave tests that catch regressions and explain their limits30 min→
PRACTICE THIS IN REAL QUESTIONS
Coding & DSADesign a class that returns the moving average of the last N values in a stream→RAG & Agent System DesignYour agent workflow takes 30 seconds. Design the streaming UX, including what happens when it fails mid-stream.→MLOps & ML EngineeringDesign a feature store for a real-time fraud detection model.→LLM & GenAI FundamentalsA customer says your LLM app is too slow. Give me five levers to reduce latency, and their tradeoffs.→Coding & DSASessionize a support-event stream: a gap over 30 minutes starts a new session; dedupe events→SQL & Data EngineeringA customer says they need 'real-time dashboards.' How do you respond, batch or streaming?→
