Data lifecycle management describes the processes, policies, and procedures of managing data throughout its entire life—from the first entry into your system (data capture) all the way through its retirement (data deletion). All data has a lifecycle, and data lifecycle management ensures that your data function is proactive in managing each step of that journey.
All data, regardless of the type, has to be created. The capturing of particular information and the format it takes depends on the nature of your organization and its data needs.
Once data is created, it is sent to data storage, which may be on-premises, cloud-based, or a hybrid of the two. The storage may consist of a data lake, data warehouse, or data lakehouse approach, depending on the needs of the organization. In this stage, data is cleaned, processed, and prepared for the next stage.
Need Help on the Road How Can ...
Winmate88 Australia What Every...
Kimina Physio Expands Offering...
The Cost-Effectiveness Of Mobi...
Enhancing Workplace Safety The...
Is Physiotherapy Beneficial Wh...
Buying Indoor and Outdoor Plan...
How To Add Friends On Subway S...
Private Lenders in Australia ...
7 Key Tips for a More Relaxed ...