Enterprise data can be categorized based on criteria such as performance needs, access frequencies, I/O patterns, and business values.  With the exponential data growth, the traditional “one size fits all” data storage strategy of storing all data in a uniform storage media has become costly and less efficient.

The Dell Compellent sub-LUN tiering solution Data Progression can cost-effectively address the  explosive data growth of Oracle databases, while delivering more superior performance for OLTP applications.  This paper demonstrates these benefits through lab testing.  It also discusses the best practices for deploying automated storage tiering in an Oracle OLTP environment using Data Progression.