Get in Touch
 Duration 35 hours

Course Outline

Introduction to Qlik Cloud

  • Insight into Qlik Cloud architecture and available services
  • Navigating workspaces and understanding deployment models
  • Developer toolkits and account configuration

Data Integration and Administration

  • Linking to cloud-based and local data sources
  • Data transformation using Qlik Data Manager
  • Recommended approaches for data modeling in Qlik Cloud

Developing Dashboards and Visual Analytics

  • Designing interactive dashboards and graphical representations
  • Applying advanced visual techniques and themes
  • Collaborating and disseminating insights within Qlik Cloud

Automation and API Integration

  • Utilizing Qlik Application Automation for process coordination
  • Incorporating REST APIs and webhooks
  • Developing bespoke extensions and mashups

Security, Governance, and Management

  • Administering users and roles within Qlik Cloud
  • Ensuring data privacy and compliance in SaaS settings
  • Conducting audits and monitoring system performance

Embedding and Extensibility

  • Integrating Qlik applications into web portals and platforms
  • Employing Qlik’s Nebula.js for visualization enhancements
  • Utilizing APIs for automation and data distribution

Deployment and Refinement

  • Releasing and managing applications in the cloud
  • Optimizing for performance and consistency
  • Approaches for migrating from Qlik Sense Enterprise to Qlik Cloud

Conclusion and Future Directions

Requirements

  • A solid grasp of data analytics and visualization principles
  • Practical experience with scripting or web-based data utilities
  • Knowledge of REST APIs and data integration standards

Target Audience

  • Developers handling data and analytics within cloud ecosystems
  • Data engineers connecting Qlik Cloud with third-party systems
  • BI specialists migrating from local Qlik installations

Testimonials (3)

Related Categories