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Hands-On Business Intelligence with Qlik Sense

You're reading from   Hands-On Business Intelligence with Qlik Sense Implement self-service data analytics with insights and guidance from Qlik Sense experts

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Product type Paperback
Published in Feb 2019
Publisher Packt
ISBN-13 9781789800944
Length 442 pages
Edition 1st Edition
Languages
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Authors (4):
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Kaushik Solanki Kaushik Solanki
Author Profile Icon Kaushik Solanki
Kaushik Solanki
Clever Anjos Clever Anjos
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Clever Anjos
Jerry DiMaso Jerry DiMaso
Author Profile Icon Jerry DiMaso
Jerry DiMaso
Pablo Labbe Pablo Labbe
Author Profile Icon Pablo Labbe
Pablo Labbe
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Toc

Table of Contents (18) Chapters Close

Preface 1. Section 1: Qlik Sense and Business Intelligence FREE CHAPTER
2. Getting Started with Qlik Sense 3. Section 2: Data Loading and Modeling
4. Loading Data in Qlik Sense 5. Implementing Data Modeling Techniques 6. Section 3: Building an Analytical Application
7. Working with Application Structure 8. Creating a Sales Analysis App Using Qlik Sense 9. Interacting with Advanced Expressions 10. Creating Data Stories 11. Section 4: Additional Features
12. Engaging On-Demand App Generation 13. Creating a Native Map Using GeoAnalytics 14. Working with Self-Service Analytics 15. Data Forecasting Using Advanced Analytics 16. Deploying Qlik Sense Apps for Mobile/Tablets 17. Other Books You May Enjoy

Data loading process

When using Qlik Sense (Cloud, Personal, or Enterprise) you can load data from several sources, including spreadsheets, text files, Microsoft Access bases, SQL databases, Big Data data lakes, REST APIs, and much more. We can load data without learning a script language, despite the fact that we can use a script to leverage our access to data, and improve our control over the process. We can apply transformations such as creating calculated fields based on pre-existing information or aggregate data. The final goal is to create a data model that can be used to create dashboards and provide information to the users to analyze information.

The data loading process (demonstrated in the following diagram) consists of gathering data from different sources, associating those sources (transformed in tables) by key fields, applying transformations (creating derived fields...

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