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.
QlikView Advanced Data Visualizaton by Miguel Ángel García, Barry Harmsen, Stephen Redmond and Karl Pover
- Deliver common business requirements using advanced techniques
- Load data from disparate sources to build associative data models
- Understand when to apply more advanced data visualization
- Utilize the built-in aggregation functions for complex calculations
- Build a data architecture that supports scalable QlikView deployments
- Troubleshoot common data visualization errors in QlikView
- Protect your QlikView applications and data
For an optimal student experience, we recommend the following hardware configuration:
- Processor: Intel Core i5 or equivalent
- Memory: 4 GB RAM
- Storage: 35 GB available space
You'll also need the following software installed in advance:
- OS: Windows 7 SP1 64-bit, Windows 8.1 64-bit or Windows 10 64-bit
- Browser: Google Chrome, Latest Version
- QlikView (any version >= 11)
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