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(Information Life Cycle Management) An umbrella term for a comprehensive storage management program within an enterprise. Also called "data life cycle management" (DLM), it takes into consideration the value of the information over time, how quickly and at what cost it must be made available for user queries and how long it must be retained before being deleted. An ILM implies that all data entered into the system have been assigned a type or category based on access rules, retention requirements and business practices. See storage management and SAN.



a river in the southern part of the German Democratic Republic, a left tributary of the Saale River (Elbe basin). Length, 121 km; its source is in the northeastern slopes of the Thüringen- wald. It flows mainly through hilly country. Maximum flow is in the spring, and the low-water period comes in summer. There are numerous mill and factory dams and a hydroelectric power station. The city of Weimar is on the Ilm.

References in periodicals archive ?
HCSBU serves federal, state, local and commercial clients, providing solutions that include business analysis and transformation, data life cycle management, software portfolio management, and managed IT services and infrastructure.
Data life cycle management (DLM) includes all of the processes involved in managing the flow of data throughout its life cycle: from creation to when it has lost its business value or is required by law to be deleted.
Hitachi can help you implement data life cycle management solutions through archiving policies, guaranteeing process certification based on ITIL methodologies.
For more information about Maranti's solutions for data migration, data life cycle management, disaster recovery, and storage management, visit http://www.
Electronic Records Retention: New Strategies for Data Life Cycle Management
By combining Spectra Logic's libraries with Syncsort's Backup Express we are able to provide customers with unmatched flexibility, expandability and data life cycle management in the enterprise at a very competitive price.
The goal of effective data life cycle management is to keep historical data as long as required, but not any longer.
Explains data life cycle management and data storage, using management, quality of service products and tools to achieve better data management, intelligent allocation of storage, and compliance with regulations.
Ideally, the data life cycle management solution should be completely transparent to applications and to users who do not necessarily need to know where their data is stored as long as it is accessible.
Datacore Information Systems, the leader in storage based data consolidation, business continuity and data life cycle management in Turkey, enables its customers to cost-effectively manage, all types of their data.
The longer lifetime requirement for digital data retention has triggered much of the current Data Life Cycle Management activity in the storage industry.