Description
Data Modeling for Qlik Sense is a technical course for you to learn to develop a coherent data model in Qlik Sense by loading and transforming multiple data sources. With information, tools, techniques, and exercises, this course includes topics dealing with: data connections, cleansing and transforming source data, resolving data model issues, optimization for performance, using QlikView Data Files (QVD) files, application development on Qlik Sense server

Class Type and Duration

• Instructor led
• 3 Days

Skills Learned

• Create a data model in Qlik Sense
• Use the data load editor and the data manager
• Create and maintain data connections, including DataMarket
• Resolve data structure issues and script errors
• Transform data for better performance
• Discuss synthetic keys and circular references
• Add dimensions and measures to the master library
• Add simple visualizations with Qlik Sense

Course Outline

• Basic data modeling concepts
• Data connections
• Structuring the script
• Loading Data and Data transformations
• Resolving data issues
• Generating data with the script
• Debugging a data load
• Scripting and data model challenges
• Advanced Calculations
• Performance Considerations
• Working with server
• Security