Book Image

Qlik Sense Cookbook - Second Edition

By : Pablo Labbe, Philip Hand, Neeraj Kharpate
Book Image

Qlik Sense Cookbook - Second Edition

By: Pablo Labbe, Philip Hand, Neeraj 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 (16 chapters)
Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
Index

Introduction


Data is the core aspect of any Business Intelligence (BI) application. It provides information that helps organizations to make decisions.

A Qlik Sense application is based on the data extracted from various sources, such as relational databases, CRM systems, ERP systems, and data files.

This chapter introduces the user to various methods of extracting data into a Qlik Sense application effectively. It is assumed that the reader is already acquainted with the concepts of ODBC, OLE DB, and relational databases. The chapter also provides essential recipes to extract data from web services with the REST connector and FTP data sources with the native Web File connector.

The latter part of the chapter focuses on a few recipes regarding the creation of a library and content and the new features of visual data transformation available in the data manager.