Course Outline
Qlik Cloud Fundamentals
- Architectural overview of Qlik Cloud services and components.
- Navigating workspaces and understanding deployment models.
- Configuring developer tools and account initialization.
Data Integration and Management
- Establishing connections to cloud-based and on-premises data sources.
- Utilizing Qlik Data Manager for efficient data transformation.
- Applying best practices for robust data modeling within Qlik Cloud.
Developing Dashboards and Visual Analytics
- Constructing interactive dashboards and dynamic charts.
- Implementing advanced visualization techniques and custom themes.
- Enhancing collaboration and insight sharing capabilities across the organization.
Automation and API Integration
- Orchestrating business processes using Qlik Application Automation.
- Integrating REST APIs and webhook mechanisms for real-time data flow.
- Developing custom extensions and data mashups.
Security, Governance, and Administration
- Managing user permissions and role-based access controls in Qlik Cloud.
- Ensuring data protection and regulatory compliance within SaaS environments.
- Conducting audit trails and performance monitoring.
Embedding and Extensibility
- Embedding Qlik applications within web portals and custom software interfaces.
- Utilizing Nebula.js to create bespoke visualization extensions.
- Leveraging APIs to facilitate automation and data delivery services.
Deployment and Optimization
- Publishing and maintaining applications in the cloud infrastructure.
- Scaling solutions to ensure optimal performance and reliability.
- Developing migration strategies from Qlik Sense Enterprise to Qlik Cloud.
Conclusion and Strategic Next Steps
Requirements
- A solid foundational understanding of data analytics principles and visualization techniques.
- Practical experience with scripting languages or web-based data processing tools.
- Proficiency in REST API architectures and core data integration methodologies.
Target Audience
- Software developers managing data and analytics pipelines in cloud-based environments.
- Data engineers responsible for integrating Qlik Cloud with third-party systems.
- Business Intelligence professionals migrating from on-premises Qlik solutions to a cloud-first strategy.
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
