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SQL Development
Change Data Capture
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Use cases
Use cases
The following use cases are illustrations for CDC use and they should not be considered as instructional steps to develop an ETL application.
In this section:
Finding changed data references during minimal Change tracking
Finding change data references in a time range with minimal Change tracking
Finding change data references for a table row with minimal Change tracking
Getting change data values for a source table
Getting change data values for a source table within a time range
Getting change data values for a source table row
Getting change data values driven by a source table row
Getting Before and After values in change data
Propagating change details to the Data Warehouse, and using CDC_get_changed_columns()
Looking for changes to a particular column in a source table
Finding source tables with Changes
Listing source tables with Change volume
Consuming and managing CDC change data