Data classification--attaching meta data to files that goes beyond the rudimentary file descriptors file systems provide--is at the core of many modern storage management practices. Storage tiering, archiving, regulatory compliance--among other technologies and processes--will all be more effectively if the data to be moved or discarded is appropriately identified.

An effective data classification can ultimately reap sizable savings as data is more appropriately placed on lower cost disk or tape systems, the concepts of data classification are generally well understood, but the actual process and its impact on overall management often isn't.

In this session, we'll take a close look at data classification by comparing some of the major classification products:

• Who are the key players (Abrevity, Kazeon, Index Engines, StoredIQ, etc.)?
• How do each of their tools work--what's the impact on storage systems?
• What manual processes are still required--will end users have to do anything?
• How do these tools integrate with other applications, such as retention or migration apps?