The process of managing the flow of data throughout its lifecycle, from creation and initial storage to the time when it becomes obsolete and is deleted.
In cloud computing, Data Lifecycle Management (DLM) refers to the process of managing the flow of data throughout its lifecycle in a cloud environment. This includes everything from the initial creation and storage of data, to its use and eventual archiving or deletion.
DLM works by establishing policies and processes for handling data at each stage of its lifecycle. This can include policies for data retention, archiving, security, and compliance. In a cloud environment, DLM can also involve strategies for managing and optimizing storage costs, such as moving infrequently accessed data to lower-cost storage options.
A company, DataCorp, uses cloud services to store and manage large amounts of data. As part of its DLM strategy, DataCorp sets up policies for how long different types of data should be retained, when they should be archived, and when they should be deleted. It also uses cloud-based tools to automate these processes and ensure compliance with data protection regulations.
A storage repository that holds a vast amount of raw data in its native format until it is needed.
A strategy that manages and manipulates data storage as distinct units, called objects, which are kept in a single repository and are not nested as files in a folder.