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QlikView for Developers

You're reading from   QlikView for Developers Design and build scalable and maintainable BI solutions

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781786469847
Length 546 pages
Edition 1st Edition
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Authors (2):
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Miguel  Angel Garcia Miguel Angel Garcia
Author Profile Icon Miguel Angel Garcia
Miguel Angel Garcia
Barry Harmsen Barry Harmsen
Author Profile Icon Barry Harmsen
Barry Harmsen
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Toc

Table of Contents (17) Chapters Close

Preface 1. Meet QlikView FREE CHAPTER 2. What's New in QlikView 12? 3. Seeing is Believing 4. Data Sources 5. Data Modeling 6. Styling Up 7. Building Dashboards 8. Scripting 9. Data Modeling Best Practices 10. Basic Data Transformation 11. Advanced Expressions 12. Set Analysis and Point In Time Reporting 13. Advanced Data Transformation 14. More on Visual Design and User Experience 15. Security Index

Dimensional data modeling


We will first take a moment to review a little bit of theory, and even some history. If you are already familiar with dimensional modeling, feel free to skip to The associative data model section. Otherwise, read on to see how the data models used in transaction processing systems came to be, why these data models are hard to query, and how an alternative modeling technique solves these problems.

Note

This section is largely based on Ralph Kimball's article, A Dimensional Modeling Manifesto. The full version can be found at http://www.kimballgroup.com/1997/08/02/a-dimensional-modeling-manifesto/.

Back in the day

When computers first appeared on the scene, the methods for storing, retrieving, and modifying data were still in their infancy. For example, when storing a customer order, it was likely that all of the data from the paper order form was directly copied into a single record or file.

While it was convenient to have the data digitally available, people quickly...

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