[{"_1":2,"_42":-5,"_43":-5},"loaderData",{"_3":4,"_10":11,"_40":-5,"_41":-5},"root",{"_5":-5,"_6":-5,"_7":-5,"_8":9},"user","shoppingCartId","toast","locale","en","routes/_store+/_readers+/email_author.$slug/route",{"_12":13,"_39":-5},"book",{"_14":15,"_16":17,"_18":19,"_20":21,"_22":23,"_24":25},"id","Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvNjIxODM","title","Get a grip on data modeling","state","published","contactAuthorMethod","email","aboutText","

A book about data modeling in the digital age, isn't that strange? When I look at my daily work in which data modeling plays a central role, I don't think so. Data modeling provides control over data from perspectives such as governance, data management, software development and business intelligence. That's why a reference work with modeling forms and an example of a three-layer data model based on an integrated conceptual, logical and physical data model.

This book consists of two parts. Each part looks at data and modeling from a different perspective.

The first part provides an overview of different modeling formats, depicted in a simple framework to indicate which aspect of data modeling is supported by the modeling formats.
In the second part a data model is elaborated of a fictitious case the Alberto ice cream parlors. The data model is an elaboration of all the discussed data modeling methods. In the example model a hybrid model is elaborated that makes all notation methods together into one joint and integrated model.

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