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extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions.
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<h1 style="text-align: center;">Big Data</h1> <h2>[WHAT]</h2> <ol> <li>] "much IT investment is going towards managing and maintaining big data"</li> </ol> <h2>[WHY]</h2> <ol> <li>] use big data to reveal patterns, trends, and associations, especially relating to human behavior and interactions.</li> </ol> <h2>[WHERE]</h2> <ol> <li>]</li> </ol> <h2>[WHEN]</h2> <ol> <li>] 2010 ?</li> </ol> <h2>[EXAMPLE]</h2> <ol> <li>] Cloudera -</li> <li>] DataStax -</li> <li>] DataGravity - went through massive rounds of funding, while</li> <li>p] Hortonworks -Hadoop provider </li> <li>p] New Relic - data analytics</li> <li>] tachyus.com - which uses sensors and other technology to help oil and gas producers improve production,</li> <li>] Infer - SAAS companies realize they’re sitting on a treasure trove of data that they can leverage, Infer is one company doing this, helping to improve sales productivity.</li> </ol> <h2>[HOW-TO]</h2> <ol> <li>]</li> </ol> <h2>[REFERENCE]</h2> <ol> <li>] <a href="http://www.entrepreneur.com/article/240905" target="_blank">http://www.entrepreneur.com/article/240905</a></li> </ol> <h1 style="text-align: center;"> </h1>