How do you configure the data aging policy in HANA?

Configuring the data aging policy in HANA primarily involves defining rules that determine which data should be archived based on its age and usage. This process is essential to manage the performance and storage efficiency of the database. Data aging allows organizations to move less frequently accessed or older data to less expensive storage solutions, thereby optimizing the use of resources and maintaining the overall performance of the database.

By establishing rules related to the age of the data and how frequently it is accessed, a DBA can specify criteria for when data should transition from active storage to archived storage. This allows for better resource management and can lead to cost savings while ensuring that frequently used data remains easily accessible.