You can use Data Transmission Service (DTS) to retrieve incremental data from data sources in real time. This feature applies to multiple scenarios, such as cache update, business decoupling, asynchronous data processing, real-time synchronization of heterogeneous data, and real-time synchronization of complex extract, transform, and load (ETL) operations. This topic describes how to create, monitor, and manage a change tracking task.
Background information
Overview of change tracking scenarios
This topic describes the databases and data types that are supported by the change tracking feature.
Features
For information about the features of a change tracking task, see Change tracking (new).
Manage a change tracking task
Step | Supported version of the change tracking feature | Description |
New | Before you use DTS for change tracking, prepare the environments that are required for the source and destination databases. | |
New | Create a change tracking task by completing simple configurations in the DTS console. | |
3. Manage the change tracking task | New |
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4. Consume tracked data | New | Use one of the following methods to consume the tracked data: |
5. Stop the change tracking task | New | If you want to stop the change tracking task, release the corresponding instance.
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