Computer data storage is accomplished on a variety of physical devices including memory chips, disk and tape drives, flash and other solid state memory and new storage mediums that store and read information. Data storage is an overhead archival cost that must also be managed for risk and compliance across a lifecycle of demand, usability and disposal.

NewsDropbox made itself a household name by giving away cloud storage. Its two-year-old effort to make money from business users has been less impressive.
NewsBox will integrate IBM content management software and enable customers to use IBM’s analytics tools, the two companies said today.
NewsMake your private cloud vision more attainable—activating it for less cost and with less complexity. That effort must include a well-defined storage strategy.
Market TrendsAdding Semantics to a data lake can transform and integrate unstructured and structured data and query it in real-time, providing critical business intelligence that answers complex questions.
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AnalysisAs the world goes digital, what does the future hold for records and information managers (RIMs) who don't necessarily sit within corporate IT? Here's how to stay relevant.
NewsInternational Business Machines is pouring resources into Spark -- an open source software offering that could reshape the big data and analytics markets.
NewsLarge, midsize and webscale businesses are describing their latest big data and analytics projects at this week's Hadoop Summit in San Jose. Here's a sampling of the milestones.
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In-memory databases are designed for big data applications and real-time analytics. Here are 19 in-memory databases that Gartner mentioned in a recent market overview report.
NewsInformatica has unveiled a range of big data, cloud and analytics tools to improve data integration and the security of Hadoop systems.
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NewsIBM continues to bolster its business analytics and big data initiatives across Watson Analytics in the cloud; Bluemix developer tools; and Power Systems hardware.
NewsEMC World 2015 will feature familiar industry buzzwords -- big data, cloud, the Internet of Things and plenty more. But for data scientists, the term to track is enterprise data lakes. Here's why. Photo: CEO Joe Tucci, courtesy of EMC
NewsData lakes potentially solve two key problems involving big data and information silos. But they also introduce three new data management challenges. Here they are.
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