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by John Biderman Past performance is no guarantee of future results. – ubiquitous investment disclaimer Never make predictions, especially about the future.– Casey Stengel You can file this under “semantic nit-picking.” Or maybe not. The phrases “predictive analytics” and “predictive models” get thrown around a lot these days, especially in the context of what...
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by John Biderman Let’s face it: the whole NoSQL/Big Data thing has traditional data management professionals (in whose ranks I count myself) at best concerned, at worst terrified. Several of our most closely held shibboleths are being sundered. Where’s the data model? Where are the keys, the constraints? How do I enforce data quality?...
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by John Biderman As I’ve written here before, I am a big proponent of the value of an enterprise data model (which I will shorthand as “EDM” henceforth) for all the benefits it provides, among them: describing the data requirements and relationships for the enterprise, which aids data integration projects and helps prevent unnecessary...
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by John Biderman When President Theodore Roosevelt commissioned construction of the Panama Canal (bear with me; this will be made relevant to data topics shortly) it was overseen by a committee in Washington who hired a seasoned engineer, John Findley Wallace, and dispatched him to the isthmus with the directive to “make the dirt...
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by John Biderman I will be attending the 2011 Semantic Technology Conference (“SemTech”) in June on my own “vacation” time in order to further my knowledge of what is going on in this very interesting and exciting arena. I went to this conference in 2006 when it was only a few years old and...
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By John Biderman I have a firmly, almost righteously, held belief that you can’t do Enterprise Information Management without some form of an enterprise information model. In fact, without one I don’t think you can effectively and efficiently do Enterprise Data : Architecture, Management, Integration, Warehousing, Services, etc. This seems such a truism – admittedly...
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