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Big Data’s Integration Challenges
by Angela Guess Loraine Lawson interviewed IBM’s David Corrigan regarding Big Data integration given the premise that Big Data encompasses volume, velocity, and variety. When asked how these three Vs...
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What Qualifies as Big Data?
by Angela Guess Jeff Bertolucci of Information Week recently opined that mid-market companies shopping for Big Data platforms might be better off with a traditional database. He writes, “If you’re...
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Gartner’s Three-Part Definition of Big Data
by Angela Guess Svetlana Sicular of Gartner recently wrote an article for Forbes regarding Gartner’s often misunderstood definition of Big Data. She writes, “Volume, velocity and variety...
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Data Shape Matters, Not Just Size
by Angela Guess Amir Halfon of Finextra recently wrote, “Data is at the center of most challenges facing our industry today, with business drivers such as new regulations, aggregated risk management,...
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With Big Data, Stick to the Original 3 Vs
by Angela Guess Seth Grimes of Information Week recently posed the question, “When it comes to big data, how many V’s are enough? Analyst Doug Laney used three – volume, velocity and variety – in...
View ArticleBig Data: Separating the Facts from the Myths
by Angela Guess Al Nugent of Adaptive Computing recently wrote, “In the time since I co-wrote Big Data for Dummies (Wiley, 2013), there has been an explosion in the interest around big data (and big...
View ArticleAn Overview of the Threes Vs of Big Data
by Angela Guess David Gewirtz recently asked in ZDnet, “What is big data? The answer, like most in tech, depends on your perspective. Here’s a good way to think of it. Big data is data that’s too big...
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