In Data Modeling for Qlik Sense training course, you will 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.
By attending Data Modeling for Qlik Sense workshop, delegates will learn to:
- 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
This Data Modeling for Qlik Sense class is ideal for:
- Data Architects
- Consultants
- Database and SQL query knowledge
- Attend Creating Visualizations with Qlik Sense training or equivalent knowledge
- Attend Understanding Data Principles training or equivalent knowledge