Book Image

Qlik Sense Cookbook - Second Edition

By : Labbe, Hand, Kharpate
Book Image

Qlik Sense Cookbook - Second Edition

By: Labbe, Hand, Kharpate

Overview of this book

Qlik Sense allows you to explore simple and complex data to reveal hidden insight and data relationships that help you make quality decisions for overall productivity. An expert Qlik Sense user can use its features for business intelligence in an enterprise environment effectively. Qlik Sense Cookbook is an excellent guide for all aspiring Qlik Sense developers and will empower you to create featured desktop applications to obtain daily insights at work. This book takes you through the basics and advanced functions of Qlik Sense February 2018 release. You’ll start with a quick refresher on obtaining data from data files and databases, and move on to some more refined features including visualization, and scripting, as well as managing apps and user interfaces. You will then understand how to work with advanced functions like set analysis and set expressions. As you make your way through this book, you will uncover newly added features in Qlik Sense such as new visualizations, label expressions and colors for dimension and measures. By the end of this book, you will have explored various visualization extensions to create your own interactive dashboard with the required tips and tricks. This will help you overcome challenging situations while developing your applications in Qlik Sense.
Table of Contents (11 chapters)

Getting Started with the Data

In this chapter, we will cover the basic tasks related to importing data into a Qlik Sense application:

  • Extracting data from databases and data files
  • Extracting data from web files
  • Extracting data from the FTP server
  • Extracting data from web services with Rest Connector
  • Activating the legacy mode in Qlik Sense® desktop
  • Previewing data in the Data model viewer
  • Creating a master library from the Data model viewer
  • Using a master library in Edit mode
  • Using visual data preparation on the data manager model viewer