This topic describes the common scenarios of the task orchestration feature of DMS.
The task orchestration feature of DMS can be used in the following scenarios:
Data migration and synchronization
Configure and manage data migration and data synchronization tasks. Such tasks migrate data from one data source to another, or synchronize data that use the same data source or different data sources in real time.
Data cleansing and processing
Orchestrate and execute data processing tasks, such as data cleansing, data matching, data merging, and data conversion. These tasks ensure data accuracy and integrity.
Data integration and aggregation
Integrate data from various sources, and perform tasks including data aggregation, report generation, and statistical analysis.
Real-time data processing
Set up scheduled tasks to process and analyze real-time data.
Automated workflow
Use the scheduling and dependency management functions to create automated workflows. This improves work efficiency and data processing accuracy.
Data governance and control
Use the data source configuration and management functions to configure and manage data sources. This ensures data security and controllability.
Data archiving and cleaning
Periodically archive business data to low-cost storage and perform data analysis.
Job scheduling
Create tasks that run at specific time points or frequencies, and tasks that are triggered by specific events. This ensures that the tasks are executed on time.