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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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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I’m a big fan on Stephen Wolfram and his efforts in building Mathematica and pushing forward his approach to scientific discovery, A New Kind of Science. In a recent post, Popular Science editor Mark Jannot talks to Wolfram about big data, human understanding, and the origin of the universe. Here’s just on back-and-forth between Jannot
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Looking ahead, there are a number of interesting upcoming conferences within the “big data” and “data science” fields, so I thought I’d list a few in this post. First, Strata is probably one of the biggest and fastest growing conferences within the field, and they’ll be holding their next conference in Santa Clara, CA, starting
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This Friday, I thought I’d highlight one of my favorite and nerdiest documentaries of the technology industry. Given the presence of the late Steve Jobs in the media lately – his loss to cancer, the new Walter Issaccon biography, and Apple’s re-creation of personal computing – I thought it would be nice to reflect upon
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Here’s a nice post from the New York Times about big data, speed, and the future of computing. It talks a little bit about the technology that makes IBM’s Watson computer so fantastic at beating Jeopardy! champions (we first wrote about this last year…), and that the need for speed will likely change the computer architectures
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In the latest edition of Newsweek magazine, they have a cool set of the greatest robots of all time, in honor of Apple’s introduction of Siri, the technology that will let you use your new iPhone 4S by voice commands. Here’s a link to Newsweek’s robot montage – but I’ve listed their picks below (which
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GigaOM and the New York Times have reports on Apple’s plans to reinvent the way we watch TV. Two days ago, GigaOM reported on the iTunes boss at Apple moving over to head up Apple’s television plans. Today, they rebroadcast an article by NYT’s Nick Bilton that Apple is planning to launch a Siri-enabled television
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Computerworld recently posted an article describing the challenges of “big data”, or what they see as “really big data”. They’ve posted on these challenges before, and it’s interesting to see where they think the big data challenges lie: “We’ve all heard the predictions: By 2020, the quantity of electronically stored data will reach 35 trillion
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Guy Kawasaki has written a post on the top lessons he learned from Apple’s co-founder Steve Jobs, who passed away last week. Why should we pay attention to Guy’s lessons? Well, Guy was the chief evangelist for Apple, working directly with Jobs in the early days of the PC, and was critical in cultivating the market
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