Course Outline
Introduction to Qlik Sense Enterprise
- Overview of architecture and deployment models
- Key components: QMC, Hub, and Engine
- Roles and security considerations
Data Modeling and Scripting
- Loading and transforming data using Qlik Script
- Utilizing data connections, variables, and mappings
- Managing joins, concatenations, and synthetic keys
Visualization and Dashboard Design
- Constructing sheets, charts, and storyboards
- Leveraging master items and reusable components
- Working with advanced chart types and expressions
Set Analysis and Advanced Expressions
- Applying set analysis for conditional aggregation
- Mastering advanced aggregation and nested expressions
- Debugging techniques and expression optimization
Security and Governance
- Implementing security rules, section access, and data reduction
- Monitoring and auditing user activity
- Performance tuning and governance best practices
Automation and Integration
- Automating data reloads via QMC
- Utilizing Qlik REST APIs for automation and integration
- Extending Qlik Sense functionality with custom connectors
Deployment and Maintenance
- Strategies for backup, migration, and upgrades
- Configuring multi-node setups and load balancing
- Best practices for enterprise deployments
Summary and Next Steps
Requirements
- A solid understanding of data visualization and business intelligence concepts
- Practical experience with scripting and data modeling
- Basic familiarity with Qlik Sense or comparable analytics tools
Target Audience
- Data developers
- Business intelligence professionals
- Analytics and visualization specialists
Testimonials (4)
Abhi has excellent knowledge of Alteryx and he explained things very clearly. He understood our goals and created bespoke demo datasets that were relevant to our organisation, which was very impressive. The training was well-structured and delivered at a good pace, with time for questions.
Samuel Taylor - Manchester Metropolitan University
Course - Alteryx for Data Analysis
Deepthi was super attuned to my needs, she could tell when to add layers of complexity and when to hold back and take a more structured approach. Deepthi truly worked at my pace and ensured I was able to use the new functions /tools myself by first showing then letting me recreate the items myself which really helped embed the training. I could not be happier with the results of this training and with the level of expertise of Deepthi!
Deepthi - Invest Northern Ireland
Course - IBM Cognos Analytics
he was well prepared - and he is very sympathetic
Oliver - Post CH AG
Course - Splunk Fundamentals
Used good examples, good pace of the training and covered most things