Companies need capabilities for identifying data assets and relationships, assessing data growth and implementing tiered storage strategies-capabilities that information governance can provide. It is important to classify enterprise data, understand data relationships and define service levels. Database archiving has proven effective in managing continued application data growth especially when it is combined with data discovery.
Vendors in this market have been challenged in their attempts to gain market visibility and awareness for their products and for the benefits they can provide compared with just throwing more hardware at the problem.
Different types of data have different data retention requirements. In establishing information governance and database archiving policies, take a holistic approach by understanding where the data exists, classifying the data, and archiving the data. IBM InfoSphere Optimô Archive solution can help enterprises manage and support data retention policies by archiving historical data and storing that data in its original business context, all while controlling growing data volumes and improving application performance. This approach helps support long-term data retention by archiving data in a way that allows it to be accessed independently of the original application.
Research giant Forrester estimates that on average, data repositories for large applications grow by fifty percent annually. However, up to half of all that data can be duplicate or otherwise unnecessary. With no end in sight for the increase of raw data (both structured and unstructured), organizations must be ever more strategic about where and how to store enterprise information. Meanwhile, a tightening economy is putting pressure on costs, just as compliance mandates call for greater visibility into processes and data. What to do? Register for this Web Seminar to learn the four pillars of strategic storage, and how they can be used to simultaneously reduce costs, while improving speed, accuracy and accountability. The four pillars will be discussed in detail, with real-world examples of each: deep compression, database archiving,de-duplication thin provisioning.
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