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

Using QlikView Expressor for ETL

In June 2012, Qlik announced the purchase of Expressor Software. The press release talked about a metadata intelligence solution for data lineage and data governance, but what exactly is this product?

There are a couple of parts to the technology that are interesting. The main business of Expressor Software was the creation of an ETL tool that could connect to multiple different data sources, read data, and write it out to different locations. As part of this, they happened to create connectors that could connect to QlikView files—QVW, QVD, and QVX—and read both data and metadata from those files. They also created connectors to write out data in QVX format. Obviously, they felt that the QlikView market was worth going after.

Almost as a side effect, they were able to create the genesis of what is today the QlikView Governance Dashboard. Using their technology, they were able to connect to QlikView files and read enough metadata to create a full governance...