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 Duration 35 hours

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

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