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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 2. QlikView Data Modeling FREE CHAPTER 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

Chapter 3. Best Practices for Loading Data

"Data! Data! Data!" he cried impatiently. "I can't make bricks without clay."

— Sherlock Holmes (Arthur Conan Doyle), The Adventure of the Copper Beeches

In this chapter, beginners to QlikView development will be shown how to connect to different data sources with the QlikView script, load tables of data, transform that data, and create charts and other objects. However, in the real world of QlikView application development, it will be very rare that you will create an application that contains the whole process, from data source to final visualizations, within one QlikView document.

Extract, transform, and load (ETL) is a standard process within data warehousing; moving and transforming data from different data locations into the final dimensional model tables.

In this chapter, we will be looking at creating best practice ETL techniques using QlikView tools. Initially, we will look at how to do this using the QlikView script. At the end of this chapter...

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