Read widely – here are some books data modellers should take a look at

If you’re like me, you’re a book addict. I’ve built up a large library of books related to metadata and data modelling, and also on subjects such as process management, IT service management and mind mapping. When I was working with Steve Hoberman on our recent book, I didn’t want the book to give the impression that data modellers work in isolation, so I went through my library looking for useful material. I thought I’d share some of my findings with others, so here’s a list of books you should take a look at:

  • Business Rule Concepts (Ronald G. Ross, 2009) – read pages 74, 77 about the role of verbs in describing facts. See also Chapter 1 about noun concepts and terms; I especially like the statement that a  “noun or noun phrase…represents merely the tip of an iceberg with respect to meaning”
  • Building Business Solutions: Business Analysis with Business Rules (Ronald G. Ross and Gladys S.W. Lam, 2011) – Read the chapter on Fact Models and how similar these are to Conceptual Data Models – see also my review of this book
  • Data Quality Assessment (Arkady Maydanchik, 2007) – chapter 4 provides an excellent introduction to and a detailed discussion of attribute domains
  • Document Engineering (Robert J. Glushko and Tim McGrath, 2008) – if you’re modelling the data in documents or service messages, you really must read this book
  • Mind Maps for Kids (Tony Buzan, 2003) – OK, it’s aimed at kids, but it’s a great introduction to the topic – look at the use of colour in his mind maps – how can you use colour effectively in your data models?

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