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 5. Advanced Scripting

"In my opinion, the vast majority of scripts written … are not very original, well-written, or interesting. It has always been that way, and I think it always will be."

— Viggo Mortensen

In anything more than the simplest of QlikView applications, the script is where we spend a very large percentage of our development time.

When we discussed the performance tuning of our applications (Chapter 1, Performance Tuning and Scalability), we discussed that almost all of the effort to make our applications more efficient and to consume less memory will be made in the script. Even when we tune expressions in the frontend, then this is more than likely going to be supported by script work.

All data modeling work is going to be in the script. Of course, implementing an ETL process is something that we do in the script. We can use the script to simplify advanced expressions.

Almost...