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  • Who is responsible for the data model actually being used?

    I was recently talking with a group of data architects on how to review a data model using the Data Model Scorecard®. The Scorecard contains ten categories that validate the strengths and areas for improvement in a data model concerning requirements, good design principles, and standards....

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    Steve Hoberman
  • Data Slang

    During a recent Data Modeling Master Class, a participant was describing a data integration challenge and used the terms ‘munged’ and ‘refarkle’ in his explanation. Here are their definitions: munged – “To transform data in an undefined or unexplained manner” (Wikipedia)refarkle – To break a complex...

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    Steve Hoberman
  • Making the Connections

    One of the most frequently asked questions I have received this past year during my data modeling classes is “What’s a good mapping tool?” That is, what software tool would you recommend for capturing and displaying how a logical attribute is represented in one or more...

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    Steve Hoberman
  • PDM = Implementation?

    Does your organization distinguish a “physical data model” from an “implementation data model”? In other words, is the physical data model (PDM for short) a model of “what” the design should look like, and the implementation data model is a model of “how” this design should...

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    Steve Hoberman
  • A Party for Vanishing Definitions

    You are in the midst of building the underlying data model to support a large business intelligence project. This type of data model goes by many names (such as a corporate data model or enterprise data model), and crosses departments and broad functional areas. There is...

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    Steve Hoberman