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Implementing Qlik Sense

You're reading from   Implementing Qlik Sense Design, Develop, and Validate BI solutions for consultants

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Product type Paperback
Published in Oct 2017
Publisher Packt
ISBN-13 9781786460448
Length 438 pages
Edition 1st Edition
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Authors (2):
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 Solanki Solanki
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Solanki
 Hegde Hegde
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Hegde
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Table of Contents (18) Chapters Close

Title Page
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
1. Consultant - An Introduction 2. Preparing for the Project FREE CHAPTER 3. Prerequisites to Start a Project 4. Requirement Gathering 5. Architecture Design 6. Development 7. Validation, UAT and Go-Live 8. Post Go-Live 9. Avoiding Common Pitfalls 10. Knowledge Sets 11. A Real Life Case-Study

Data extraction process


The process of fetching the data from various source databases for further transformation and utilization in development of dashboard is the Data Extraction Process for Qlik Sense projects.

Data extraction is the starting step towards building the Qlik Sense dashboards. This process involves fetching the data from one or more databases, and merging and transforming them in such a way that it can be visualized graphically and an analysis can be done on that.

 

Qlik Sense uses the Extract, Transform, and Load (ETL) process to prepare the data for dashboard usage. Let us have a detailed look at the ETL process.

Extract, Transform, and Load (ETL)

ETL is the process used to create a data mart and data warehouse. In this process, the data is pulled from various data sources, then transformed into the required format by applying the business logic, and then stored back in the destination database, which could be the data warehouse.

Note

The main element of this process is the staging...

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