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 Duration 35 hours

Course Outline

Introduction to Qlik Cloud

  • Understanding Qlik Cloud architecture and available services
  • Navigating workspaces and exploring deployment models
  • Setting up developer tools and accounts

Data Integration and Management

  • Establishing connections to cloud and on-premises data sources
  • Processing data using Qlik Data Manager
  • Best practices for data modeling within Qlik Cloud

Creating Dashboards and Visual Analytics

  • Developing interactive dashboards and charts
  • Applying advanced visualizations and custom themes
  • Sharing insights and collaborating within Qlik Cloud

Automation and API Integration

  • Orchestrating processes with Qlik Application Automation
  • Connecting REST APIs and webhooks
  • Developing custom extensions and mashups

Security, Governance, and Administration

  • Managing users and roles in Qlik Cloud
  • Ensuring data protection and compliance in SaaS contexts
  • Implementing auditing and performance monitoring

Embedding and Extensibility

  • Integrating Qlik apps into web portals and other applications
  • Utilizing Qlik's Nebula.js for visualization extensions
  • Leveraging APIs for automation and data distribution

Deployment and Optimization

  • Publishing and managing cloud-based applications
  • Scaling systems for performance and reliability
  • Strategies for migrating from Qlik Sense Enterprise to Qlik Cloud

Summary and Future Steps

Requirements

  • Solid grasp of data analytics and visualization principles.
  • Practical experience with scripting or web-based data tools.
  • Knowledge of REST APIs and data integration standards.

Target Audience

  • Developers handling data and analytics in cloud-based environments.
  • Data engineers integrating Qlik Cloud with third-party systems.
  • BI professionals looking to transition from on-premises Qlik solutions.

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