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Information Life Cycle Management: Manage Exponential Data Growth
March 31 @ 12:30 - 13:30
The exponential increase of data volumes puts enterprise IT infrastructures under pressure in cost, performance, scalability, and manageability. The regulatory requirements are changing, like how and why data are retained. Many organisations are now required to maintain and control more information for a more extended period. Information Lifecycle Management (ILM) is applying policies for the effective management of information throughout its useful life. Oracle’s Advanced Compression and Data Partitioning help organisations to deploy ILM policy. The benefits include improving enterprise application’s performance, reducing infrastructure cost, providing governance, risk, and compliance framework for enterprise data.
This session will cover in-depth data portioning, advance compression and database performance benefits. I will also discuss Automatic Data Optimization and Heat Map to define policies, move data to different storage tires with examples, and use Data / Information Lifecycle Management cases.