Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletter Hub
Free Learning
Arrow right icon
timer SALE ENDS IN
0 Days
:
00 Hours
:
00 Minutes
:
00 Seconds
Arrow up icon
GO TO TOP
Implementing Qlik Sense

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

Arrow left icon
Product type Paperback
Published in Oct 2017
Publisher Packt
ISBN-13 9781786460448
Length 438 pages
Edition 1st Edition
Arrow right icon
Authors (2):
Arrow left icon
 Solanki Solanki
Author Profile Icon Solanki
Solanki
 Hegde Hegde
Author Profile Icon Hegde
Hegde
Arrow right icon
View More author details
Toc

Table of Contents (18) Chapters Close

Title Page
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
1. Consultant - An Introduction 2. Preparing for the Project FREE CHAPTER 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.

Row Count

This is a common way of finding if the data loaded in Qlik Sense matches with the source data or not. It is very simple to find the numbers of records loaded after Qlik...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at £13.99/month. Cancel anytime
Visually different images