Course Outline
Introduction to Qlik Cloud
- Examination of Qlik Cloud infrastructure and service capabilities for government use cases
- Workspace navigation and available deployment models
- Configuration of developer tools and establishment of administrative accounts
Data Integration and Management
- Establishing connections to cloud-based and on-premises data repositories
- Executing data transformations via Qlik Data Manager
- Adhering to established best practices for data modeling within the Qlik Cloud environment
Building Dashboards and Visual Analytics
- Designing and implementing interactive dashboards and analytical charts
- Utilizing advanced visualization techniques and standardized themes for government reporting
- Facilitating collaboration and dissemination of analytical insights across Qlik Cloud
Automation and APIs
- Leveraging Qlik Application Automation for process orchestration and workflow management
- Integrating external systems through REST APIs and webhooks
- Developing custom extensions and mashups to enhance functionality
Security, Governance, and Administration
- Management of user identities and role-based access controls in Qlik Cloud
- Ensuring data protection standards and regulatory compliance within Software-as-a-Service (SaaS) contexts for government entities
- Conducting system auditing and continuous performance monitoring
Embedding and Extensibility
- Integrating Qlik applications into external web portals and agency-specific applications
- Implementing visualization extensions using Qlik’s Nebula.js framework for government applications
- Utilizing APIs to support automation and facilitate secure data delivery
Deployment and Optimization
- Publishing and managing application lifecycle within the cloud infrastructure
- Scaling resources to ensure optimal performance and system reliability
- Executing migration strategies for transitioning from Qlik Sense Enterprise to Qlik Cloud
Summary and Next Steps
Requirements
- Proficiency in data analytics and visualization methodologies
- Practical experience with scripting languages and web-based data tools
- Knowledge of REST API functionality and data integration standards
Target Audience
- Technical personnel managing data operations within cloud infrastructure
- Data engineering staff implementing Qlik Cloud integrations with external systems
- Business intelligence practitioners transitioning from on-premises Qlik 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