Data lifecycle management is essential to ensure it is managed effectively from creation, storage, use, sharing, and archive to the end of life when it is deleted.

In this last stage of data management lifecycle, any data with time will be sent either to archive or is deemed unfit for any further storage and hence deleted. Top 7 strategic best practices for ...

Enterprise data management (EDM) is the framework organizations use to manage data across systems, teams and workflows. It ...

Keep data for as long as you are required to do so for records management, statutory, regulatory or compliance requirements, and ensure you are not inadvertently disposing of it.

Data Lifecycle Management is a concept that has been around for a while and the benefits have been mentioned in detail in every article. However, Data Lifecycle Management (DLM) has not been used ...

In today's world where data reigns supreme, the role of Database Administrators (DBAs) extends far beyond just maintaining databases. DBAs play a crucial role in overseeing the entire lifecycle of ...

NEW YORK, May 1, 2025 /PRNewswire/ -- BigID, the leader in data security, privacy, compliance, and AI data management, today announced the launch of its industry-first comprehensive Data Lifecycle ...

Integrated lifecycle management (ILM) faces a new frontier when it comes to big data. The core challenges are threefold: the sheer unbounded size of big data, the ephemeral nature of much of the ...

Together, the new data services provide an intuitive cloud operating experience that enables customers to transform data lifecycle management and thrive in the age of insight.

BigID's Data Lifecycle Management solution uniquely addresses this challenge, delivering: Automated Retention Policies: Enforce intelligent, policy-based data retention that aligns with business ...