Preface
by Karl Pover, Stephen Redmond, Barry Harmsen, Miguel Angel Garcia
QlikView: Advanced Data Visualization
- QlikView: Advanced Data Visualization
- Table of Contents
- QlikView: Advanced Data Visualization
- Contributors
- Preface
- 1. Performance Tuning and Scalability
- Reviewing basic performance tuning techniques
- Generating test data
- Understanding how QlikView stores its data
- Strategies to reduce the data size and improve performance
- Testing chart performance for different load options
- Optimizing chart calculation times
- The QlikView calculation engine
- Using Direct Discovery
- Testing scalability with JMeter
- Running an example execution
- Summary
- 2. QlikView Data Modeling
- Reviewing basic data modeling
- Dimensional data modeling
- Differentiating between facts and dimensions
- Understanding the grain
- Understanding star schemas
- Summing with facts
- Discovering more about facts
- Dealing with nulls in fact tables in QlikView
- Designing dimension tables
- Defining Kimball's four-step dimensional design process
- Learning some useful reusable dimension methods
- Creating dimensional facts
- Handling slowly changing dimensions
- Dealing with multiple fact tables in one model
- Drilling across with document chaining
- Summary
- 3. Best Practices for Loading Data
- Reviewing data loading concepts
- Understanding why you should use an ETL approach
- Using an ETL approach to create QVD data layers
- Mastering loading techniques
- Using QlikView Expressor for ETL
- Summary
- 4. Advanced Expressions
- Reviewing basic concepts
- Understanding Dollar-sign Expansion
- Using advanced Set Analysis
- Calculating vertically
- Summary
- 5. Advanced Scripting
- Reviewing the basic concepts
- Counting records
- Loading data quickly
- Applying variables and the Dollar-sign Expansion in the script
- Using control structures
- Examining advanced Table File Wizard options
- Looking at data from different directions
- Reusing code
- Summary
- 6. What's New in QlikView 12?
- 7. Styling Up
- 8. Building Dashboards
- User types
- Applying the DAR principle to Airline Operations
- Creating the Analysis sheet
- Creating the new Dashboard sheet
- Creating the Reports sheet
- Other charts
- Summary
- 9. Advanced Data Transformation
- 10. Security
- 11. Data Visualization Strategy
- 12. Sales Perspective
- 13. Financial Perspective
- 14. Marketing Perspective
- 15. Working Capital Perspective
- 16. Operations Perspective
- 17. Human Resources
- 18. Fact Sheets
- 19. Balanced Scorecard
- 20. Troubleshooting Analysis
- 21. Mastering Qlik Sense Data Visualization
- Index
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 is designed for developers who want to go beyond their technical knowledge of QlikView and understand how to create analysis and data visualizations that solve real business needs. To grasp the concepts explained in this Learning Path, you should have a basic understanding of the common QlikView functions and some hands-on experience with the tool.
-
No Comment