Book Image

Hands-On Business Intelligence with Qlik Sense

By : Pablo Labbe, Clever Anjos, Kaushik Solanki, Jerry DiMaso
Book Image

Hands-On Business Intelligence with Qlik Sense

By: Pablo Labbe, Clever Anjos, Kaushik Solanki, Jerry DiMaso

Overview of this book

Qlik Sense allows you to explore simple-to-complex data to reveal hidden insights and data relationships to make business-driven decisions. Hands-On Business Intelligence with Qlik Sense begins by helping you get to grips with underlying Qlik concepts and gives you an overview of all Qlik Sense’s features. You will learn advanced modeling techniques and learn how to analyze the data loaded using a variety of visualization objects. You’ll also be trained on how to share apps through Qlik Sense Enterprise and Qlik Sense Cloud and how to perform aggregation with AGGR. As you progress through the chapters, you’ll explore the stories feature to create data-driven presentations and update an existing story. This book will guide you through the GeoAnalytics feature with the geo-mapping object and GeoAnalytics connector. Furthermore, you’ll learn about the self-service analytics features and perform data forecasting using advanced analytics. Lastly, you’ll deploy Qlik Sense apps for mobile and tablet. By the end of this book, you will be well-equipped to run successful business intelligence applications using Qlik Sense's functionality, data modeling techniques, and visualization best practices.
Table of Contents (18 chapters)
Free Chapter
1
Section 1: Qlik Sense and Business Intelligence
3
Section 2: Data Loading and Modeling
6
Section 3: Building an Analytical Application
11
Section 4: Additional Features

How Qlik Sense handles large volumes of data

The usual Qlik in-memory approach does a really good job of handling usual datasets (millions of records). Obtaining the answer in a sub-second upon user selection is a regular experience.

Qlik Indexing Engine (QIX) is Qlik's patented in-memory data-indexing technology. This approach loads and keeps the user dataset (databases, files, and data lakes extracts) in server memory. It does this using a compression algorithm that can compress data down to 10% of original data. Let's understand how this works; while the data is being loaded by your script or data manager internally, Qlik engine creates some tables to accommodate your data. First, Qlik creates a symbol table for each field with two fields (pointer and value); then the engine loads only distinct values to this table and creates a pointer with the smallest bit representation...