This topic shows you how to use Data Management (DMS) to build a data warehouse in Data Lake Analytics (DLA) for an ApsaraDB RDS for MySQL instance and use the task orchestration feature of DMS.
Background information
- The task flow is scheduled so that tasks in the task flow can be run in an automatic and periodic manner. This significantly reduces the cost of labor.
- The scheduled task flow generates analysis results in real time and provides quick responses for queries from business applications.
- Analysis results of the scheduled task flow can be reused by other data analysis tasks in DLA. This maximizes the resource utilization in DLA.
Add an ApsaraDB RDS for MySQL instance
Add a DLA instance
Create a task flow
What to do next
- You can grant a RAM user the permission to query the DLA schema that is created by the DLA analysis task flow. For more information, see Permission management.
- You can use the data protection feature of DMS to ensure data security. For more information, see Data Protection.