Course Outline
Overview of Qlik Sense Enterprise
- Architectural insights and deployment frameworks.
- Core elements: QMC, Hub, and Engine.
- User roles and security considerations.
Data Modeling and Scripting Techniques
- Data ingestion and transformation via Qlik Script.
- Utilizing data connections, variables, and mapping functions.
- Handling joins, concatenations, and synthetic keys.
Visualization and Dashboard Engineering
- Creation of sheets, charts, and narrative storyboards.
- Application of master items and reusable components.
- Implementation of advanced chart types and complex expressions.
Set Analysis and Complex Expressions
- Applying set analysis for conditional aggregation tasks.
- Managing advanced aggregation and nested expression structures.
- Troubleshooting and optimizing expression performance.
Security and Governance Frameworks
- Implementation of security rules, section access, and data reduction strategies.
- Oversight and auditing of user activities.
- Performance tuning and adherence to governance best practices.
Automation and System Integration
- Scheduling automated data reloads through QMC.
- Leveraging Qlik REST APIs for process automation and external integration.
- Extending Qlik Sense functionality with custom connectors.
Deployment and System Maintenance
- Strategies for backup, migration, and system upgrades.
- Configuration of multi-node environments and load balancing.
- Best practices for managing enterprise-level deployments.
Recap and Future Steps
Requirements
- A foundational grasp of data visualization principles and business intelligence frameworks.
- Practical experience in scripting and data modeling.
- General familiarity with Qlik Sense or comparable analytics tools.
Target Audience
- Data developers.
- Business intelligence experts.
- Specialists in analytics and visualization.
Testimonials (4)
That it was very practical.
Alfonso Ramos - Banco de Mexico
Course - Fundamentos de Integración de Datos Pentaho
Machine Translated
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
lots of pratical exercises
