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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

Changing the source table structure

We've seen how the QlikView engine works and the importance of having a data model design that fully takes advantage of QlikView's associative algorithms. So, the first section of this chapter deals with transforming source tables to make them adequate for our data model. The different structure transformations we'll make are:

  • "Cleansing" a dirty table
  • Converting a Crosstable to a standard table
  • Using hierarchy tables
  • Loading generic tables

"Cleansing" a dirty table

As we've said before, it's not that uncommon for business users to require consolidated information from all sorts of different sources: the CRM, the company's Data Warehouse, Excel tables, Legacy systems, and so on. In these scenarios, the developer commonly faces the challenge of adapting a user file (Excel, CSV, TXT) that has either a non-standard structure or contains "dirty" data which needs to be removed, such as report headers or...

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