Book Image

QlikView for Developers

By : Miguel Angel Garcia, Barry Harmsen
Book Image

QlikView for Developers

By: Miguel Angel Garcia, Barry Harmsen

Overview of this book

QlikView is one of the most flexible and powerful Business Intelligence platforms around. If you want to build data into your organization, build it around QlikView. Don't get caught in the gap between data and knowledge – find out how QlikView can help you unlock insights and data potential with ease. Whether you're new to QlikView or want to get up to speed with the features and functionality of QlikView, this book starts at a basic level and delves more deeply to demonstrate how to make QlikView work for you, and make it meet the needs of your organization. Using a real-world use-case to highlight the extensive impact of effective business analytics, this book might well be your silver bullet for success. A superb hands-on guide to get you started by exploring the fundamentals of QlikView before learning how to successfully implement it, technically and strategically. You'll learn valuable tips, tricks, and insightful information on loading different types of data into QlikView, and how to model it effectively. You will also learn how to write useful scripts for QlikView to handle potentially complex data transformations in a way that is simple and elegant. From ensuring consistency and clarity in your data models, to techniques for managing expressions using variables, this book makes sure that your QlikView projects are organized in a way that's most productive for you and key stakeholders.
Table of Contents (24 chapters)
QlikView for Developers
Credits
About the Authors
Acknowledgements
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Index

Data consistency


The first set of best practices that we present on data modeling are those related to data consistency. This is one of the most important things we need to take care of when building QlikView documents. Let's look at some best practices that we can use to assure our data is concise and consistent.

Dealing with dimensions without facts

Sometimes, a dimension table can contain values that do not have any associated facts. To demonstrate this, let's take a second look at the data model we built in Chapter 4, Data Sources,and have been using ever sice:

  1. Open the Airline Operations.qvw file.

  2. Launch the Table Viewer by selecting File | Table Viewer or by pressing Ctrl + T.

  3. Hover the mouse over the %Aircraft Type ID field in the Aircraft Types table, pay special attention to the Subset ratio value.

  4. Next, hover the mouse over the %Aircraft Type ID field in the Main Data table, again paying special attention to the Subset ratio. What you will notice is that the Aircraft Types dimension...