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 Qlik Data Files (QVD) files, application development on Qlik Sense server.
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
On-Demand App Generation (ODAG) and Direct discovery
Performance Considerations
Working with server
Security
Instructor led
3 days
Creating Visualizations with Qlik Sense (advantageous)
Database and SQL query knowledge
Data Architects
Partners
Consultants
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
$2,400 CAD per student (+TAX)
Access to the Online Course Material (during the class and for following 6 months)
Snacks throughout the day and pizza lunch on final day
Coffee, Tea and Cold Beverages (Pop, Juices, etc.)