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Gartner Magic Quadrant Report on Big Data Integration Tools

Based upon their Magic Quadrant analysis of data integration tools, Gartner rates Informatica Corp. and IBM as the top software vendors in the space. Gartner uses a Magic Quadrant to rate companies as leaders, challengers, niche players and visionaries based on several criteria including “completeness of vision” and “ability to execute.”  From Gartner’s website: Leaders execute well

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Big Data and 1984?

As the data science and big data technology booms start accelerating, it’s worth noting how these technologies will change our lives – both positively and potentially negatively. I posted previously about the ongoing discussion of privacy, but I’ve found another post on GigaOM about the same topic.  According to the article, the Supreme Court of

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Kontagent closes $12M, Big Data Helps NextGen Science

A couple of interesting notes today….  On the PRNewswire today, Kontagent, a leading enterprise user analytics company, today announced that it has closed $12 million in Series B financing with a consortium of investors including Battery Ventures, Altos Ventures, and Maverick Capital.  Kontagent focuses on social and mobile web applications with their kSuite product, which combines

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Cool Infographics on Big Data

On WebProNews, Chris Crum shows some interesting infographics about the big data onslaught.   The three topics that are covered include: Big Data – just what the information deluge is going to look like (for example, by 2015, there will be 7.9 zettabytes of data created, enough to fill 1.8 million Libraries of Congress The Digital

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Dart-Throwing Chimp Talks Data Science

Interesting how you find things on the Internet, but I ran across this post by Jay Ulfelder, an American political scientist who studies the survival and breakdown of political regimes (among other things) and a self-described dart-throwing chimp (yes, this is how I got here…). Jay writes an interesting piece about a couple of experiences

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Analytics as a Lean Startup

I ran across this post on Analyst First by Stephen Samild, where he describes the world of Business Analytics as a prime area for the Lean Startup model. I am a big fan of Eric Ries’ book The Lean Startup, where he advocates treating every new entrepreneurial venture, whether inside an existing company or as its

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How Moneyball and Human Resources Fit Together

You might not think of a Brad Pitt movie and human resources as fitting together, but stay with me… Josh Bersin of Bersin and Associates makes the case that human resources professionals need to exploit data science to support their businesses better.  Just as analyzing the statistics of baseball helped Billy Beane’s Oakland A’s beat

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WSJ: The King of Big Data

On the Wall Street Journal website today, Ben Rooney posts an interview with Hortonworks CEO Eric Baldeschwieler, co-creator of Hadoop.  For all those in the big data space, the Hadoop project develops open-source software for reliable, scalable, distributed computing, and Hortonworks is focused on accelerating the development and adoption of Hadoop. In Rooney’s interview, Baldeschwieler

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IW: Big Data Doesn’t Always Mean Better Insight

Shvetank Shah is executive director of the Corporate Executive Board, and recently wrote an article for InformationWeek about the need for scrutiny when launching into big data initiatives.  Here’s the first paragraph from Shah’s post, which sums things up pretty well: Even as companies invest eight- and nine-figure sums to analyze the information streaming in from

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Strata Workshop: Street Fighting Data Science

At the upcoming Strata conference in late February 2012, they’ll be hosting workshops on applying better data science practices in the real world.  One of the workshops will be held by Pete Skomoroch, who is a Principal Data Scientist at LinkedIn and focuses on reputation systems, personalization, and creating data driven products like LinkedIn Skills.  Here’s

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