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  • Book Overview & Buying Implementing Qlik Sense
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Implementing Qlik Sense

Implementing Qlik Sense

By : Solanki, Hegde
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Implementing Qlik Sense

Implementing Qlik Sense

4 (5)
By: Solanki, Hegde

Overview of this book

Qlik Sense is a leading platform for business intelligence (BI) solutions. Qlik Sense helps organizations in making informed decisions based on the data they have. This book will teach you how to effectively use Qlik for optimum customer satisfaction. You will undergo a metamorphosis from a developer to a consultant who is capable of building the most suitable BI solutions for your clients. The book will take you through several business cases – this will give you enough insight to understand the needs of the client clearly and build a BI solution that meets or exceeds their expectations. Starting from the pre-project activities, you will go to the actual execution of the project, the implementation, and even maintenance. This book will give you all the information you need - from the strategy to requirement gathering to implementing BI solutions using Qlik Sense. The book will empower you to take the right decisions in tricky and diffi cult situations while developing analytics and dashboards.
Table of Contents (12 chapters)
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Summary

At the end of the chapter, let us summarize all things we learnt in this chapter. Being the heart of the book, this chapter tried to teach us many aspects of development, starting from getting the data from the source system to converting it into the data insight visualization for end users to consume it.

We started with understanding the data extraction process, where we learned about ETL (Extract, Transform, and Load). Within the ETL process, we focused mainly on the extraction process, where we learned about full load and incremental load. We saw what kind of data would need what kind of load strategy.

In incremental load, we saw how to handle three main scenarios, namely insert, update, and delete. We also saw the scripting and sample outputs for each one of them.

After the extraction phase, we started with data modeling and learned about dimensional modeling with...

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