Data Modeling for Qlik Sense users

Audience:
• Data Architects
• Business Analysts

Skills Learned:
• Create a data model in Qlik Sense
• Use the Data Load Editor and the Data Manager
• Create and maintain data connections
• Resolve data structure issues and script errors
• Transform data for better performance
• Discuss synthetic keys and circular references
• Implement document-level security
• Add simple datavalidationvisualizations

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 activities, this course includes topics dealing with maintaining data connections, transforming source data, architecting data models, optimizing for performance, and application development on Qlik Sense.

Type: Instructor-led 
Duration: 3 days
Price: 15.350 DKK