How do you manage data growth in your Oracle Environment?

In many organizations today, the amount of additional storage hardware purchased each year in response to data growth shows no sign of slowing down. Regulatory requirements have changed how and why organizations are required to store more information for longer periods of time. Simply adding more storage isn't a cost effective approach against real world budget restrictions or when its impact on user response times and application performance takes a nose dive.

Nearly 40% of the respondents from a recent IOUG survey indicate that reducing costs was their primary reason behind implementing a tiered storage approach in their Oracle Database environment. But even with the right storage and compression capabilities, deciding which data should reside where and when to migrate data from one storage tier to another remains a real world challenge.

Forward-looking IT organizations are adopting advanced strategies for managing data growth using innovative database technologies that automate compression and storage tiering while improving database performance.

Oracle Database 12c provides new features and options that optimize database storage and work together to help you implement an Information Lifecycle Management (ILM) solution in order to  manage data growth cost effectively and comply with new regulatory requirements for data retention and protection.

Register for an IOUG Webcast on Tuesday April 15th, to hear Kevin Jerigan from Oracle describe Oracle Database 12c Storage Optimization features and Oracle Intelligent Storage Protocol.



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