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QlikView: Advanced Data Visualization

You're reading from   QlikView: Advanced Data Visualization Discover deeper insights with Qlikview by building your own rich analytical applications from scratch

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Product type Course
Published in Dec 2018
Publisher Packt
ISBN-13 9781789955996
Length 786 pages
Edition 1st Edition
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Authors (4):
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Barry Harmsen Barry Harmsen
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Barry Harmsen
Miguel  Angel Garcia Miguel Angel Garcia
Author Profile Icon Miguel Angel Garcia
Miguel Angel Garcia
Stephen Redmond Stephen Redmond
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Stephen Redmond
Karl Pover Karl Pover
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Karl Pover
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Table of Contents (25) Chapters Close

QlikView: Advanced Data Visualization
Contributors
Preface
1. Performance Tuning and Scalability FREE CHAPTER 2. QlikView Data Modeling 3. Best Practices for Loading Data 4. Advanced Expressions 5. Advanced Scripting 6. What's New in QlikView 12? 7. Styling Up 8. Building Dashboards 9. Advanced Data Transformation 10. Security 11. Data Visualization Strategy 12. Sales Perspective 13. Financial Perspective 14. Marketing Perspective 15. Working Capital Perspective 16. Operations Perspective 17. Human Resources 18. Fact Sheets 19. Balanced Scorecard 20. Troubleshooting Analysis 21. Mastering Qlik Sense Data Visualization Index

Understanding why you should use an ETL approach


Hopefully, from the preceding section, you might start to see why the majority of expert QlikView developers use some kind of an ETL approach to data loading using QVDs.

There are several advantages to using an ETL approach to just load all the data directly from data sources, such as:

  • Speeding up overall data loading and reducing of load on database servers by archiving data to QVD

  • Reusing extracted data in multiple documents

  • Applying common business rules across multiple documents: one version of the truth

  • Creating conformed dimensions across multiple business processes, supporting a dimensional modeling approach

  • Provisioning a data layer that allows QlikView users to self-serve, without it being necessary to have database skills

Speeding up overall data loading

As mentioned in the previous section, it doesn't make sense to constantly load data from a database that doesn't change. It makes much more sense for the data that doesn't change to be stored...

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