Enterprises are grappling with the skyrocketing amount of data they have to handle as that data proliferates into the terabyte and petabyte stage. Datasets that large are known as “big data” to IT practitioners. Relational databases and desktop statistics or visualization packages can’t handle big data; instead, massively parallel software running on up to thousands of servers is needed to do the job. Many businesses turn to open source tools, such as Apache’s Hadoop, when working with big data.
As these data sets get bigger and bigger, solid strategies and infrastructure to back up that data become even more important. One solid provider of these IT services is dcVAST, a small company in the Chicago area. If any of your readers want more info on dcVAST, check out this page http://www.dcvast.com/managed-data-storage-backup/
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Big Data, Big Open Source Tools
Posted by: Richard Adhikari February 25, 2011 05:00 AMEnterprises are grappling with the skyrocketing amount of data they have to handle as that data proliferates into the terabyte and petabyte stage. Datasets that large are known as “big data” to IT practitioners. Relational databases and desktop statistics or visualization packages can’t handle big data; instead, massively parallel software running on up to thousands of servers is needed to do the job. Many businesses turn to open source tools, such as Apache’s Hadoop, when working with big data.
Hope that's helpful!