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Modeling to Support Agile Data Warehouses: Hyper Normalization and Hyper Generalization


I was in Las Vegas recently for The Data Warehousing Institute conference helping out with our Magnitude Software booth, and I noticed one of the classes being taught there was “Agile Data Engineering:  New Data Modeling Techniques that Readily Adapt to Constant Change.”  We’ve been modeling for a long time now—is there really something new […]

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What on earth does MDM have to do with Big Data?


Well, actually rather a lot. In a recent webinar in which I participated with Virgin Media, the question was raised by one of the attendees as a current requirement. It surprised me a little, as although I have had many theoretical conversations about the relationship between the two disciplines, it was refreshing to hear customers […]

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Can’t We All Just Get Along?


Stop throwing your partner under the bus

I was at a standstill on a blog that I alluded to in my previous Thick as a Brick submission when I ran across a similar theme from Jonathan Feldman on Information Week Global CIO, No One Likes Petulant Teenagers.  The premise that I alluded to was that many CIOs are in the business of […]

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Commoditizing Data Science: The stampede toward Shadow IT 2.0


Recently I attended the Gartner BI Summit in Dallas. If there was any one thing that jumped out at me it was how many of the analytics vendors I spoke with are lowering the barrier to entry for just about anyone to acquire and apply these at their desk, from their hotel rooms, in the […]

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Big Data and Moneyball


Like many baseball fans, I was spellbound by Moneyball, the 2003 Michael Lewis book that told the story of how Oakland Athletics general manager Billy Beane and his staff leveled the playing field between baseball’s biggest teams and his small market club by finding overlooked value in the “big data” of baseball statistics. While I […]

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