Book Image

QlikView Essentials

By : Chandraish Sinha
Book Image

QlikView Essentials

By: Chandraish Sinha

Overview of this book

This guide demonstrates just how easy it is to get started with QlikView and create your own BI application. Featuring an introduction to its core features before exploring how to load data and model it, you’ll soon become more confident that you can take full advantage of QlikView’s capabilities.. You will also learn how to use QVD files with QlikView – and how they offer a simpler way of handling data. After digging deeper into data handling, as you learn how to use mapping tables and create a master calendar, you’ll then find out how to get the most from QlikView’s visualization features – vital if you are to use your data insights effectively. From accessible and user friendly dashboards to strategies and best practices for subjecting data to further analysis, you can be confident that you’ll be prepared to get the most out of your data with QlikView. With details on how to finally secure your application and deploy it for a successful integration in your organization, QlikView Essentials underlines exactly why QlikView is becoming more and more popular for businesses that understand the value of data.
Table of Contents (15 chapters)
QlikView Essentials
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
Index

Chapter 3. Optimizing Your Data Model

Your data model should always be simple and easy to understand. An expert data modeler will always clean up the data model to remove any unnecessary tables.

QlikView provides different techniques for data model cleanup. In this chapter we will learn ways to clean up the data model and create a star schema.

In this chapter we shall:

  • Learn about mapping tables and mapping load

  • Clean up the data model using "mapping load" and "apply map"

  • Learn about different kinds of joins

  • Aggregate data

  • Learn to use "concatenate"

Let's review the data model that we created in the last chapter:

One of our requirements is to create a robust data model that is clean, easy to understand, and helps in data analysis. This chapter describes techniques to achieve this requirement. By understanding and applying the concepts of mapping load, concatenate, and joins, we can create a more useful data model.