Change Data Capture
Change Data Capture (CDC) is a set of techniques for detecting and capturing row-level inserts, updates, and deletes in a source database as they happen, so those changes can be propagated to downstream systems in near real time.
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Interview Questions(6)
What is Change Data Capture (CDC)?
Change Data Capture (CDC) is a technique for identifying and streaming only the rows that changed — inserts, updates, and deletes — in a source database, typic…
Elasticsearch vs Built-In Database Full-Text Search: When to Use Which?
Use your relational database’s built-in full-text search when search is a secondary feature on data that already lives there and needs to stay transactionally…
Why and How Do You Denormalize Data at Scale?
Denormalization means deliberately duplicating data across records or tables to avoid expensive joins at read time, trading storage space and write complexity…
What is the Outbox Pattern?
The outbox pattern solves the dual-write problem by writing both a business state change and the event describing it into the same local database transaction,…
What is Change Data Capture (CDC)?
Change data capture is a technique for detecting and streaming every row-level insert, update, and delete made to a database as an ordered sequence of events,…
What Is the Transactional Outbox Pattern?
The transactional outbox pattern solves the dual-write problem by writing a business change and its corresponding event into the same local database transactio…