Data Modeler's Workbench: Tools and Techniques for Analysis by Steve Hoberman

By Steve Hoberman

A goldmine of beneficial instruments for info modelers!Data modelers render uncooked data-names, addresses, and revenues totals, for instance-into details similar to buyer profiles and seasonal paying for styles that may be used for making severe company judgements. This e-book brings jointly thirty of the best instruments for fixing universal modeling difficulties. the writer offers an instance of every instrument and describes what it's, why it really is wanted, and the way it really is mostly used to version facts for either databases and information warehouses, besides information and warnings. clean pattern copies of all worksheets and checklists defined are supplied in an appendix.Companion site positive factors updates at the most recent instruments and methods, plus hyperlinks to similar websites providing automatic instruments.

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You: Imagine all of the veins and arteries in the human body. There are incredible numbers of veins passing blood and nutrients to the heart; in turn, many arteries from the heart pass blood and nutrients to the rest of the body. Imagine if instead of having the central heart, we had all the veins and arteries directly connected to where they needed to pass their information. Imagine how complicated and wasteful that would be. Well, the same would be true if we built all of the interfaces directly to the source applications.

An enterprise model that is too detailed is a like a world map where the mileage scale is actual size. This means there is no scale of one inch equals 100 miles. 4 World Map Analogy Work Sheet THIS EASILY UNDERSTOOD CONCEPT ... IS LIKE THIS CONCEPT I’M TRYING TO EXPLAIN ... World map Enterprise data model ... FOR THESE REASONS • Agreement • Planning • Issue resolution U S I N G AN EC D OTES, ANALO G I ES, AN D P R ES E NTATI O N S 21 on the map. This is not only extremely complicated to imagine but cost prohibitive to create and maintain.

Data modeling presentations with little or no direction can be very frustrating for the audience, because the smallest data modeling subject can take hours to debate and explain. Have you ever presented a data model or sat in on a data model review where the discussions seemed to spend hours on a very small section of the model or on a single issue? I have been in meetings where the entire meeting focused on a very small topic and never went anywhere else. Afterward, I was left wondering what the original purpose of the meeting was.

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