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Vol. 11 Num. 3 May 2012

Dealing with big data: The storage implications

Whether it’s defining “big data,” understanding Hadoop or assessing the impact of large data stores, storage pros need a clear understanding of the big data trend. It seems impossible to get away from the term “big data” nowadays. The challenge is that the industry lacks a standard definition for what big data is. Enterprise Strategy Group (ESG) defines big data as “data sets that exceed the boundaries and sizes of normal processing capabilities, forcing you to take a non-traditional approach.” We apply the term “big data” to any data set that breaks the boundaries and conventional capabilities of IT designed to support day-to-day operations. @pb These boundaries can be encountered on multiple fronts: The transaction volume can be so high that traditional data storage systems hit bottlenecks and can’t complete operations in a timely manner. They simply don’t have enough processing horsepower to handle the volume of I/O requests. Sometimes they don’t have enough spindles in the environment to handle all the I/O requests. This ...

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Features in this issue

  • Cloud storage for archiving

    by  Phil Goodwin, Contributor

    Cloud archiving services can offer accessibility and data preservation at a fraction of the cost of building an on-site archive infrastructure.

  • DAS lives

    by  George Crump

    Direct-attached storage may seem passé, but it’s making a comeback and gaining widespread interest.

  • Recovery slows for storage shops

    by  Rich Castagna

    Storage budgets have been recovering, but progress might be slowing. Storage managers are looking for tools to get more out of the gear they have or plan to buy.

Columns in this issue

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