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

Summary


This brings us to the end of this chapter on data modeling best practices. If you haven't finished all of the exercises, don't worry, all of the solutions are included in the solution files.

To recap, in this chapter we learned how to deal with common consistency issues, such as facts without associated dimensions, and vice versa, how we can reduce storage requirements by using numeric keys, removing unused fields from our model, and by splitting high-cardinality fields.

We also learned how to approach two of the most common design challenges, concatenating two fact tables and creating link tables, and what the advantages of the different methods are.

Finally, we learned how to create a master calendar.

In the next chapter, we will learn some basic data transformation techniques that will help us cleanse source data and load data that isn't in a straightforward, tabular format.