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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
 35 Hours

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