In other words, can I find in my Big Data analytical support for a conflicting story to my own?
The Frederick National Laboratory for cancer research (winner of the 2012 government big data solutions award) has been using big data solutions to support researchers working on understanding the relationship between genes and cancers.
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All the big storage companies are developing products to play in the big data space because of the storage capacity growth as well as the growth in support services for big data.
Quantum, LSI and EMC have made some recent product announcements that support big data.
Even ad-hoc query tools such as Dremel have been introduced to support Big Data environments with low latency.
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By 2015, 4.4 million IT jobs will be created to support big data.
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Oracle first announced support for big data with its new Big Data Appliance and Oracle NoSQL database at the Open World conference, and was followed by Microsoft which announced Hadoop support for SQL Server 2012.
Additionally, Big Data computing will require specialized technology to support the volume, velocity and variety of data.
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But the translation of that data into beautiful things is the next big thing. 2012 proved data alone isn't enough, it is there to support the art and craftsmanship of creating experiences. 2013 will bring that back.
Big data can quickly clog up the view and that makes marketing technologies ever more critical to support growth goals.
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It is possible, I suppose, to launch Big Data analysis with no stories, and to be on the outlook for analytical results that support two apparently conflicting ones.
Gigabit networks can enable genetic sequencing to treat cancer patients, immersive and creative software to support lifelong learning from home, and ways for small businesses to take advantage of Big Data.
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Operational Big Data is about automating and streamlining the process of distilling huge amounts of data into a form that can support decision making and process execution.
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