Book Image

QlikView: Advanced Data Visualization

By : Miguel Angel Garcia, Barry Harmsen, Stephen Redmond, Karl Pover
Book Image

QlikView: Advanced Data Visualization

By: Miguel Angel Garcia, Barry Harmsen, Stephen Redmond, Karl Pover

Overview of this book

QlikView is one of the most flexible and powerful business intelligence platforms around, and if you want to transform data into insights, it is one of the best options you have at hand. Use this Learning Path, to explore the many features of QlikView to realize the potential of your data and present it as impactful and engaging visualizations. Each chapter in this Learning Path starts with an understanding of a business requirement and its associated data model and then helps you create insightful analysis and data visualizations around it. You will look at problems that you might encounter while visualizing complex data insights using QlikView, and learn how to troubleshoot these and other not-so-common errors. This Learning Path contains real-world examples from a variety of business domains, such as sales, finance, marketing, and human resources. With all the knowledge that you gain from this Learning Path, you will have all the experience you need to implement your next QlikView project like a pro. This Learning Path includes content from the following Packt products: • QlikView for Developers by Miguel Ángel García, Barry Harmsen • Mastering QlikView by Stephen Redmond • Mastering QlikView Data Visualization by Karl Pover
Table of Contents (25 chapters)
QlikView: Advanced Data Visualization
Contributors
Preface
Index

Chapter 2. QlikView Data Modeling

"It is a capital mistake to theorize before one has data. Insensibly one begins to twist facts to suit theories, instead of theories to suit facts."

— Sherlock Holmes (Arthur Conan Doyle), A Scandal in Bohemia

In data warehousing and business intelligence, there are many approaches to data modeling. We hear of personalities such as Bill Inmon and Ralph Kimball. We talk of normalization and dimensional modeling. But we also might have heard about how QlikView can cut across all of this—we don't need to worry about data warehousing; we just load in all the data from source systems and start clicking. Right?

Well, that might be right if you want to load just a very quick application directly from the data source and aren't too worried about performance or maintainability. However, the dynamic nature of the QlikView script does not mean that we should throw out all of the best practices in data warehouse design that have been established...