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Component: BC-DWB-DIC
Component Name: ABAP Dictionary
Description: SAP HANA database concept in which current data is distinguished from old data using entries in a temperature column. Only current data exists in the memory.
Key Concepts: Data aging is a process in SAP that allows users to delete or archive data that is no longer needed. This process helps to reduce the amount of data stored in the system, which can improve performance and reduce storage costs. Data aging can be used to delete or archive data based on certain criteria, such as age, frequency of use, or other criteria. How to use it: Data aging can be used in SAP by setting up a data aging job. This job can be configured to delete or archive data based on certain criteria, such as age, frequency of use, or other criteria. The job can also be configured to run on a regular schedule, such as daily or weekly. Once the job is set up, it will automatically delete or archive data that meets the specified criteria. Tips & Tricks: When setting up a data aging job, it is important to consider the impact that deleting or archiving data may have on other processes in the system. It is also important to ensure that the criteria used for deleting or archiving data are appropriate for the system and do not cause any unintended consequences. Related Information: Data aging is part of the BC-DWB-DIC ABAP Dictionary component in SAP. This component provides tools and functions for managing and maintaining data in SAP systems. It also provides tools for creating and managing database objects, such as tables and views.