9780977140060-0977140067-Data Modeling Made Simple, 2nd Edition: A Practical Guide for Business and IT Professionals

Data Modeling Made Simple, 2nd Edition: A Practical Guide for Business and IT Professionals

ISBN-13: 9780977140060
ISBN-10: 0977140067
Edition: Second
Author: Steve Hoberman, Carol Lehn
Publication date: 2009
Publisher: Technics Publications
Format: Paperback 244 pages
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Book details

ISBN-13: 9780977140060
ISBN-10: 0977140067
Edition: Second
Author: Steve Hoberman, Carol Lehn
Publication date: 2009
Publisher: Technics Publications
Format: Paperback 244 pages

Summary

Data Modeling Made Simple, 2nd Edition: A Practical Guide for Business and IT Professionals (ISBN-13: 9780977140060 and ISBN-10: 0977140067), written by authors Steve Hoberman, Carol Lehn, was published by Technics Publications in 2009. With an overall rating of 3.7 stars, it's a notable title among other Data Modeling & Design (Databases & Big Data) books. You can easily purchase or rent Data Modeling Made Simple, 2nd Edition: A Practical Guide for Business and IT Professionals (Paperback, Used) from BooksRun, along with many other new and used Data Modeling & Design books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.23.

Description

Data Modeling Made Simple will provide you with a practical working knowledge of data modeling concepts and best practices. Master these ten objectives:

  1. Know when a data model is needed and which type of data model is most effective for each situation
  2. Read a data model of any size and complexity with the same confidence as reading a book
  3. Build a fully normalized relational data model, as well as an easily navigatable dimensional model
  4. Apply techniques to turn a logical data model into an efficient physical design
  5. Leverage several templates to make requirements gathering more efficient and accurate
  6. Explain all ten categories of the Data Model Scorecard(r)
  7. Learn strategies to improve your working relationships with others
  8. Appreciate the impact unstructured data has on our data modeling deliverables
  9. Learn basic UML concepts
  10. Put data modeling in context with XML, metadata, and agile development
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