Information lifecycle management (ILM) identifies information in a database by usage frequency and assigns different types of storage and different levels of compression, based on the lifecycle stage of that information. The Oracle Database combines multitier storage with compression to lower costs and improve performance.
Utilize Oracle Partitioning, Oracle Advanced Compression, and Oracle Hybrid Columnar Compression to implement data lifecycle policies that streamline storage efficiency with tiered storage and compression.
Although most organizations have long regarded their data as one of their most valuable corporate assets, only recently has the amount of data under management become a major issue. Originally, data was used to help achieve operational goals to run the business, but as technology capabilities have grown, ever-larger databases have become feasible for both operational - OLTP - and analytical - Data Warehouse - cloud or on-premises applications.
Regulatory requirements are also changing how and why data is being retained, as many organizations are now required to retain and control much more information for much longer periods. These requirements often extend beyond structured data - typically stored in relational databases such as Oracle Database – to semi-structured and unstructured data such as medical images, videos, photos, contracts, documents, etc. The result is an explosion in the amount of data that organizations are required to obtain, organize, manage, and store securely (and safely), while still providing easy, scalable, and high-performance access.
Consequently, organizations are trying to store fast-growing quantities of data for the lowest possible cost while meeting increasingly stringent regulatory requirements for data retention and protection.
The Oracle Database contains a rich feature set that can help implement an Information Lifecycle Management solution and meet the data storage demands:
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