Primary Data Optimization: What it Should Be

Cloud computing, big data, mobility and the social media wave are just some of the drivers pushing storage growth to overwhelming rates. As information volumes explode, storage budgets remain flat and we’ve seen an increased need to implement primary data optimization technology. Primary data optimization has been discussed thoroughly in 2011, but adoption remains mixed as practitioners need to better understand how to exploit this technology, the risks of implementation, true costs and bottom line business benefits. While the concept seems simple, data optimization reduces overall costs by locating and eliminating duplicate data, it has yet to fully play out in the market.

Panelists will discuss the state of storage optimization, how technologies such as deduplication and compression are different, how they can work together to reduce the storage costs and footprint, and impacts on performance

Learning Objectives

Attendees will leave the session with a clear understanding of the primary data optimization technologies available today.
Attendees will learn how different technologies can work in unison to drive immediate and long term cost savings.
Attendees will also learn how to avoid potential pitfalls of implementing primary storage optimization.