Book Image

Learning Qlik Sense??: The Official Guide Second Edition - Second Edition

By : Christopher Ilacqua, QlikTech International AB, Henric Cronström, James Richardson
Book Image

Learning Qlik Sense??: The Official Guide Second Edition - Second Edition

By: Christopher Ilacqua, QlikTech International AB, Henric Cronström, James Richardson

Overview of this book

The intuitive and powerful Qlik Sense visual analytics software allows anyone to engage in data discovery, to explore your data, and find meaningful insights to empower your business. Qlik Sense lets you easily create personalized reports and visualizations and reveal essential connections to show new opportunities from every angle. Written by members of the Qlik Sense team, this book is the official guide from Qlik to understanding and using their powerful new product with fully updated coverage to the latest features of the most modern edition of Qlik Sense. Benefit from the vision behind the development of Qlik Sense and get to grips with how Qlik Sense can empower you as a data discovery consumer. Learn how to create your own applications for Qlik Sense to customize it to meet your personal needs for business intelligence, and how to oversee and administer the Qlik Sense data architecture. Finally, explore utilizing Qlik Sense to uncover essential data, with practical examples on finding and visualizing intelligence for sales figures, human resources information, travel expense tracking, and demographic data discovery.
Table of Contents (21 chapters)
Learning Qlik Sense® The Official Guide Second Edition
Credits
About the Authors
Acknowledgments
About the Reviewer
www.packtpub.com
Preface
Index

The Qlik Sense® data model


Data used in Qlik Sense needs to be in a tabular form, very much like a table in Excel. A column in the table is referred to as a field and every row is a record.

When data is loaded into Qlik Sense, it is stored in the QIX internal database. In the simplest case, the data is just one single table. However, more commonly, the data model consists of several tables with links between them. These define how the different tables relate to each other. It is, hence, a relational model.

In the previous chapter, we saw an example where four tables were used: Customers, Orders, Order lines, and Products:

A simple data model made from four tables

This is in fact the core of a very common business application—a sales analysis based on the registered orders.

The structure is not a coincidence. Rather, the reason why it looks the way it does is that it is a reflection of the real business processes. The relations these four entities have in reality dictate the data model:

  • A customer...