As the rate of data accumulation is increasing rapidly in the business world, the size of databases within enterprise repositories is turning huge, with large chunks of relatively old data to be managed. This is where the process known as data aging enters to enable the organizations to move large amounts of data within a database in order to access more working memory.
Primarily, data aging is carried out with the help of data processing solutions offered by SAP SE, a software corporation from Germany that develops enterprise software solutions to manage business operations and customer relations.
Leveraging the relevant SAP applications, enterprises belonging to any sector may be able to move data from the current area to the historical area. They can effectively control the move by specifying a data temperature for the data, which influences the visibility when data is accessed. It allows enterprises to perform queries involving large amounts of data in a much shorter time.
Necessary Requirements For Data Aging
In order to apply data aging to its data, enterprises must fulfill certain requirements regarding the database and the application. Data experts of the company are required to delve deeper into the application-specific details for data aging by reading the documentation about each data aging object belonging to the applications that are relevant to them.
To begin the things with, they must be equipped with a database that supports data aging. Additionally, they must have switched to the Data Aging business function, which can be done only if the database requirements for data aging have been fulfilled and the application server supports additional system requirements. It needs to be duly noticed that even before the business function is activated, the system checks for these system requirements.
In order to activate the business function, first, the profile parameter abap/data_aging needs to be entered in the relevant SAP application. After doing that, The SAP application having the data is required to provide the data aging objects and, if necessary, the enhancements to the data aging objects.
The Process of Data Aging
After the prerequisites prescribed are duly met with, the data experts of an enterprise need to generate certain functions that help them in moving their data from the current area to the historical area. On the course of data aging procedure, these functions may be divided into two schematically different areas, which are known as the ‘Design Time’ and the ‘Runtime’. With the help of these functions, the data is moved from the current area to the historical area within a database by specifying a data temperature for the data, which influences the visibility when data is accessed and more working memory is available to access. It enables the company carry out queries involving large amounts of data in a much shorter time, and perform smarter Data Analytics & Visualization.