How do you manage data growth in your Oracle Environment?
By Margaret Hamburger-Oracle on Apr 11, 2014
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.