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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

Implementing Data Modeling Techniques

In this chapter, we are going to focus on the basic concept of data modeling. We will look at the various types of the data modeling techniques and learn which technique is best suited for the Qlik Sense dashboards. We will also learn about the methods for linking data with each other using joins and concatenation. We will throw some light on how to we filter unwanted data while loading the data.

We will learn about the Qlik Data format, QlikView Data (QVD), and why it should be used in the data modeling. We will also look at how to link multiple tables with different granularity (granularity being the level of data that is stored in the tables) of data using the link table.

We will see how to handle the situation in which multiple dates are involved in the data model and situations when you want to calculate the accumulated values and rolling...

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