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

Mastering loading techniques


There are a few techniques for data loading that you need to spend some time learning to be a true master of the subject. We will have a look at some examples of them in this section.

It has already been mentioned that there is an excellent article on incremental load in both the help file and the reference manual. We will work through some examples here to help give you a good grounding in the subject. We will also look at a couple of other load techniques that will be very useful in your arsenal—binary load and partial load.

Loading data incrementally

The basic process of an incremental load is to have most of the data stored in QVDs on the server and then connect to the database to just obtain those records that are needed to update the QVDs to be concurrent.

Thinking about this, there must be a few pieces that are needed before we can implement the strategy:

  • There will need to be an initial load of the data. This may be a complete load of the data table into one...