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Course Outline
Introduction to Qlik Sense Enterprise
- Architecture overview and deployment models
- Key components: QMC, Hub, and Engine
- Roles and security considerations
Data Modeling and Scripting
- Loading and transforming data with Qlik Script
- Using data connections, variables, and mappings
- Managing joins, concatenations, and synthetic keys
Visualization and Dashboard Design
- Building sheets, charts, and storyboards
- Master items and reusable components
- Advanced chart types and expressions
Set Analysis and Advanced Expressions
- Using set analysis for conditional aggregation
- Advanced aggregation and nested expressions
- Debugging and expression optimization
Security and Governance
- Security rules, section access, and data reduction
- Monitoring and auditing user activity
- Performance tuning and governance best practices
Automation and Integration
- Automating data reloads with QMC
- Using Qlik REST APIs for automation and integration
- Extending Qlik Sense with custom connectors
Deployment and Maintenance
- Backup, migration, and upgrade strategies
- Multi-node configuration and load balancing
- Best practices for enterprise deployments
Summary and Next Steps
Requirements
- An understanding of data visualization and business intelligence concepts
- Experience with scripting and data modeling
- Basic familiarity with Qlik Sense or other analytics tools
Audience
- Data developers
- Business intelligence professionals
- Analytics and visualization specialists
35 Hours
