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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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UID

Building the Data Warehouse Semantic Layer


Kimball Group puts out some fantastic design tips, and one I especially liked in the last year was one from Joy Mundy (Design Tip #158 Making Sense of the Semantic Layer).  The arrival of this in my inbox was extremely timely because I was at the time involved in a disagreement with a BI consultant […]

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Modeling Efficiencies Using The Kalido Approach


I took my first Kalido training class in October of 1997 and I’ve been involved with Kalido ever since.  Because I’ve used Kalido for so long, it’s often easy for me to forget all of the things people had to do manually prior to Kalido coming around.  I recently saw a book by Oracle ACE […]

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Forrester Wave

Where’s My Magic Quadrant?


When I got involved with Kalido over 15 years ago, we had big plans to change the world of data warehousing, and we still do.  However, one frustration we’ve had over the years is recognition from the major analyst firms that how we build data warehouses is fundamentally different and merits a “Quadrant” or “Wave” […]

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Kalido and Anchor Modeling (AM)


Someone asked me my opinion of Anchor Modeling, and I had to admit that I hadn’t really looked at it in detail.  I’m not sure why — at first glance, “Almost 6th Normal Form” modified using a practical approach and software automation should be right in wheelhouse of people who work at Kalido! I took a […]

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