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

Understanding why you should use an ETL approach


Hopefully, from the preceding section, you might start to see why the majority of expert QlikView developers use some kind of an ETL approach to data loading using QVDs.

There are several advantages to using an ETL approach to just load all the data directly from data sources, such as:

  • Speeding up overall data loading and reducing of load on database servers by archiving data to QVD

  • Reusing extracted data in multiple documents

  • Applying common business rules across multiple documents: one version of the truth

  • Creating conformed dimensions across multiple business processes, supporting a dimensional modeling approach

  • Provisioning a data layer that allows QlikView users to self-serve, without it being necessary to have database skills

Speeding up overall data loading

As mentioned in the previous section, it doesn't make sense to constantly load data from a database that doesn't change. It makes much more sense for the data that doesn't change to be stored...