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

Handling slowly changing dimensions


For many dimensions, we are not usually worried about changes being made in the underlying system. If a salesperson gets married and their surname changes from "Smith" to "Jones," we just reload the QlikView document and the new surname will appear in the selectors. However, if the same person changes from the inside sales team to the northwest sales team, just updating the data means that sales attributed to that salesperson will no longer get attributed to the correct team.

These changes to the dimensions do not happen very frequently and are called slowly changing dimensions (SCDs). Kimball defines eight different methods of handling SCDs, from Type 0 to Type 7. The first example discussed previously, the change of surname, is an example of Type 1—simply update the value (Type 0 says to use the original value). The second change, where the sales team is updated, should be handled by Type 2—add a new row to the dimension table. Type 1 and Type 2 will...