The time period for the data lifecycle depends on the usage and the data lifecycle management( DLM). Generally, the data lifecycle begins with the creation or capture of data. The creation can be data that your own employees have used for correspondence, tables or graphics. It can also be data that business partners have transmitted or data that originates from industrial applications and is transmitted by sensors.
The created data is then processed in corresponding programs. They are maintained, extracted, transformed and integrated to various processes such as the ETL process (Extract, Transform, Load) and thus prepared for active use. In this time period, the data is used to achieve operational business goals.
This is followed by archiving in electronic, optical or magnetic storage media; depending on whether the data is subject to short-term or long-term archiving. The final phase of the data lies in its obsolescence. At this point, the data is discarded or deleted.
As the volume of data increases enormously, Data Lifecycle Management (DLM) is becoming increasingly important, especially as the management of the large amount of data that is rapidly increasing due to the Internet of Things( IoT) places enormous demands on archiving and retrieval.