Course Outline
Fundamentals of Qlik Cloud
- Architectural components and service capabilities of Qlik Cloud
- Interface navigation and strategic deployment frameworks
- Developer instrumentation and initial account configuration
Data Consolidation and Governance
- Establishing connections to both cloud-hosted and on-premises data repositories
- Data transformation processes utilizing Qlik Data Manager
- Recommended standards for data modeling within the Qlik Cloud environment
Dashboard Development and Visual Analysis
- Construction of dynamic dashboards and graphical representations
- Application of sophisticated visualization techniques and thematic designs
- Collaborative workflows and dissemination of analytical insights for government use cases
Process Automation and API Integration
- Orchestration of business processes via Qlik Application Automation
- Integration of REST APIs and webhook mechanisms
- Development of custom extensions and mashup configurations
Security Protocols, Governance, and Administrative Controls
- Administration of user privileges and role-based access in Qlik Cloud
- Data safeguards and regulatory compliance in Software-as-a-Service contexts
- Audit trail management and performance oversight
Embedding Strategies and System Extensibility
- Incorporating Qlik applications into web portals and operational systems for government platforms
- Utilization of Qlik Nebula.js for advanced visualization capabilities
- Leveraging API endpoints for automated data distribution
Deployment Execution and Performance Optimization
- Publication and lifecycle management of cloud-based applications
- Scalability measures to ensure operational reliability and efficiency
- Transition methodologies from Qlik Sense Enterprise to the Qlik Cloud framework
Conclusion and Strategic Recommendations
Requirements
- Proficiency in data analytics and visualization methodologies
- Practical experience with scripting languages or web-based data processing tools
- Knowledge of REST API standards and data integration principles
Target Audience
- Developers engaged in data analytics operations within cloud architectures
- Data engineers responsible for integrating Qlik Cloud with external information systems
- Business intelligence professionals migrating from on-premises Qlik solutions to cloud-based environments
Testimonials (3)
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