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


There has been a lot of information in this chapter, and I hope that you have been able to follow it well.

We started by reviewing some basic performance improvement techniques that you should already have been aware of, but you might not think about. Knowing these techniques is important and is the beginning of your path to mastering how to create performative QlikView applications.

We then looked at methods of generating test data that can be used to help you hone your skills.

Understanding how QlikView stores its data is a real requisite for any developer who wants to achieve mastery of this subject. Learning how to export memory statistics is a great step forward to learn how to achieve great things with performance and scalability.

We looked at different strategies for reducing the memory profile of a QlikView application and improving the performance of charts.

By this stage, you should have a great start in understanding how to create really performative applications.

When it gets to the stage where there is just too much data for QlikView to manage in-memory, we have seen that we can use a hybrid approach where some of the data is in-memory and some of the data is still in a database, and we can query that data on the fly using Direct Discovery.

Finally, we looked at how we can use JMeter to test our applications with some real-world scenarios using multiple users and repetitions to really hammer an application and confirm that it will work on the hardware that is in place.

Having worked through this chapter, you should have a great understanding of how to create scalable applications that perform really well for your users. You are starting to become a QlikView master!

In the next chapter, we will learn about best practices in modeling data and how that applies to QlikView.