Access "Cut data down to size"
This article is part of the Vol. 5 No. 5 July 2006 issue of Lessons learned from creating and managing a scalable SAN
Data-reduction technologies are emerging as key components of data protection products. By reducing the amount of data stored, you can cut storage costs and gain greater backup efficiency. Whether your company is big or small, you've likely seen your digital data grow at an alarming rate. Cheaper storage arrays and the emergence of cost- and capacity-efficient SATA drives have helped relieve the pressure, but just throwing disk at the problem isn't a long-term solution. Storage management costs are generally proportional to the amount of data managed. Reducing the amount of data that needs to be stored and managed is one big way to reduce storage costs. Squeezing the air out of data Data compression has been around since the 1970s when a couple of computer scientists developed the Lempel-Ziv (LZ) algorithm. But with the advent of other technologies in the past five years, "compression" has taken on a more generic--and sometimes confusing--definition. Broadly speaking, compression means modifying data in such a way that the information remains intact, but ... Access >>>
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Cut data down to size
by Arun Taneja
With today's extreme data growth rates, adding disk-based protection is no longer an option but a requisite. Data reduction can help ease growth pains by paring down the data that goes to disk. There are many products with data-reduction capabilities available, but the technologies they use vary widely.
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While vendors work to fill in the gaps in the information lifecycle management stack and connect the pieces, IT and business units must hammer out a manageable set of policies to drive the ILM process in their organizations.
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If your shop is inundated by a steady stream of requests for more storage, you need to get control of your company's storage consumption. To understand the problem, you have to examine the overall request and provisioning process and recognize the roles that data management and protection policies play.
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