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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

Data architecture

Now that we have a decent amount of QlikView development experience under our belt, we will introduce the concept of data architecture. This refers to the process of structuring the different layers of data processing that exist between the source tables and the final document(s). Having a well-designed data architecture will greatly simplify the administration of the QlikView deployment. It also makes the QlikView solution scalable when new applications need to be developed and when the QlikView environment grows. There can be a lot of different data architectures, but in this section we will discuss two of the most commonly used in QlikView enterprise deployments.

Two-stage architecture

The following diagram depicts the two-stage architecture:

Two-stage architecture

The two-stage architecture is composed of the following layers:

  • Source Layer: composed of the source databases and original tables.
  • Extract Layer: composed of QlikView documents, containing mainly script. These are used to pull the...
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