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Implementing Qlik Sense

You're reading from   Implementing Qlik Sense Design, Develop, and Validate BI solutions for consultants

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Product type Paperback
Published in Oct 2017
Publisher Packt
ISBN-13 9781786460448
Length 438 pages
Edition 1st Edition
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Authors (2):
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Kaushik Solanki Kaushik Solanki
Author Profile Icon Kaushik Solanki
Kaushik Solanki
Ganapati Hegde Ganapati Hegde
Author Profile Icon Ganapati Hegde
Ganapati Hegde
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Toc

Table of Contents (12) Chapters Close

Preface 1. Consultant - An Introduction FREE CHAPTER 2. Preparing for the Project 3. Prerequisites to Start a Project 4. Requirement Gathering 5. Architecture Design 6. Development 7. Validation, UAT and Go-Live 8. Post Go-Live 9. Avoiding Common Pitfalls 10. Knowledge Sets 11. A Real Life Case-Study

Data modeling Validation

Data validation is one of the critical and important points which is neglected by most of the developers. We will look at this point in detail in the next chapter, but I want to discuss briefly about validation of the data model. While developing the data model with best practices, we sometimes mess with the code and make small mistakes, which may not be wrong syntactically but may be wrong from data perspective.

Thus, it becomes important to do a preliminary validation of the data model to make sure that after doing all the calculations and linkage between the tables, the data gets populated correctly, which further helps in avoiding data related queries after entire development is done.

There are couple of things which you should do for data modeling validation. Let us have a look at them.

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