Big Data News, Articles, & Education

IBM Watson Partners with CVS Health to Improve Patient Care

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by Angela Guess Jef Cozza recently reported for CIO Today, “People suffering from chronic diseases are about to get some computer-assisted help, thanks to a new partnership between IBM and CVS Health. The companies announced a new collaboration today that will enable the pharmacy giant to use IBM’s predictive analytics and its Watson cognitive computing…

Modeling Mind and Body with Spark

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by James Kobielus What is Apache Spark best for? It’s the right tool for modeling any massively distributed, continually streaming, in-memory connectivity graph that processes sensor data and drives optimized next best actions in a spatio-temporal context. What fits that exceptionally complex use-case description better than the neural network of which one’s brain is the…

Hadoop and Big Data: The Perfect Union?

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by Angela Guess James Maguire recently wrote for Datamation, “Hadoop and Big Data are in many ways the perfect union – or at least they have the potential to be. Hadoop is hailed as the open source distributed computing platform that harnesses dozens – or thousands – of server nodes to crunch vast stores of…

Do You Need an Advanced Degree in Data Science, Big Data?

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by Angela Guess Daniel Gutierrez recently wrote for Inside Big Data, “As the big data industry continues its incredible upward trajectory, a veritable flood of enlistees are wondering how they can get the training and education necessary to take a foothold in this exciting field. Many are coming in laterally from loosely affiliated areas such…

Expanding Master Data Management with Big Data

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by Jelani Harper Initially, Master Data Management (MDM) systems and the content they contain may seem counterintuitive or even diametrically opposed to Big Data systems. Some of the considerable differences between Master Data and Big Data include: Volume: Comparatively, Master Data sets are much smaller than those for Big Data. One of the pivotal attractions…

Maintaining the Provenance of Your Big Data

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by Angela Guess Margaret Harrist of Oracle recently wrote in Forbes, “Thirty years ago, a con man named John Drewe pulled off what might be the most elaborate and damaging art fraud of the twentieth century. He befriended and persuaded a talented painter named John Myatt to create forgeries of famous works of art, and…

Avoiding Data Swamps with Big Data Governance

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by Jelani Harper Michele Goetz at Forrester recently wrote that “…Big Data is creating data swamps even in the best intentioned efforts…Analysts will still spend up to 80% of their time just trying to create the data set to draw insights.” Implicit in this statement is the reality that whether organizations are attempting to leverage…

10 Emerging Big Data Vendors to Watch

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by Angela Guess Rick Whiting recently wrote for CRN.com, “Startups developing technology for collecting, analyzing and managing big data make up a disproportionate number of the companies on this year’s CRN list of emerging vendors. That’s not so surprising when you consider that big data is one of the hottest segments of the IT industry…

How Can You Tell Good Data from Bad Data?

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by Angela Guess Lisa Wirthman of CenturyLink recently wrote in Forbes, “In this age of big data, business leaders have access to unprecedented amounts of information about their customers, markets and industry. But how can they tell the good data—information that’s accurate, relevant and free from bias—from the bad? Here are some tips for how…