Definition · data pipelines
Change data capture
Change data capture is a technique that detects and streams row-level changes from a source database so downstream systems stay in sync without full reloads. For change data capture, a useful definition states a technique that detects and streams row-level changes from a source database so downstream systems stay in sync, who owns it, and which decision it supports.
Also known as CDC, change-data-capture
Why it matters
Understanding change data capture matters because leaders need a shared, source-backed meaning before they can compare results, explain performance, or decide what to do next. When the term is tied to a source system, owner, and review cadence, it becomes easier to audit assumptions, catch changes early, and keep operators aligned.
In practice
Operating example
Change data capture is useful when teams need a shared interpretation of a technique that detects and streams row-level changes from a source database so downstream systems stay in sync without full reloads. The definition should make source data, timing, ownership, and the decision it supports explicit.
Review example
Change data capture should be reviewed whenever the source system, calculation logic, time period, or decision owner changes. That keeps the definition useful instead of letting it drift into a label.
In practice, teams should define change data capture with a clear source, owner, time period, and decision before they use it in reporting, planning, or operating reviews.
Understanding change data capture matters because leaders need a shared, source-backed meaning before they can compare results, explain performance, or decide what to do next. When the term is tied to a source system, owner, and review cadence, it becomes easier to audit assumptions, catch changes early, and keep operators aligned.
A strong workflow for change data capture separates the definition from the action: first agree what the term means, then decide how it is measured, when it changes, and who is accountable for the next step.
FAQ
What is change data capture?
Change data capture is a technique that detects and streams row-level changes from a source database so downstream systems stay in sync without full reloads. For change data capture, a useful definition states a technique that detects and streams row-level changes from a source database so downstream systems stay in sync, who owns it, and which decision it supports.
How does CDC keep data fresh?
To use change data capture, start with the decision, then confirm the source data, timing, calculation logic, and owner. The analysis is strongest when a reviewer can trace the answer back to the records that produced it.