Course Outline
Introduction to Qlik Cloud
- Overview of Qlik Cloud architecture and services.
- Workspace navigation and deployment models.
- Developer tools and account setup.
Data Integration and Management
- Connecting to cloud and on-premises data sources.
- Transforming data using Qlik Data Manager.
- Best practices for data modeling in Qlik Cloud.
Building Dashboards and Visual Analytics
- Creating interactive dashboards and charts.
- Utilizing advanced visualizations and themes.
- Collaborating and sharing insights within Qlik Cloud.
Automation and APIs
- Leveraging Qlik Application Automation for process orchestration.
- Integrating REST APIs and webhooks.
- Developing custom extensions and mashups.
Security, Governance, and Administration
- Managing users and roles within Qlik Cloud.
- Ensuring data protection and compliance in SaaS environments.
- Conducting auditing and performance monitoring.
Embedding and Extensibility
- Embedding Qlik applications into web portals and external applications.
- Utilizing Qlik’s Nebula.js for visualization extensions.
- Leveraging APIs for automation and data delivery.
Deployment and Optimization
- Publishing and managing applications in the cloud.
- Scaling for performance and reliability.
- Migration strategies from Qlik Sense Enterprise to Qlik Cloud.
Summary and Next Steps
Requirements
- A solid understanding of data analytics and visualization concepts.
- Prior experience with scripting or web-based data tools.
- Familiarity with REST APIs and data integration principles.
Target Audience
- Developers working with data and analytics in cloud-based environments.
- Data engineers responsible for integrating Qlik Cloud with external systems.
- BI professionals transitioning from on-premises Qlik solutions.
Testimonials (4)
Abhi has excellent knowledge of Alteryx and he explained things very clearly. He understood our goals and created bespoke demo datasets that were relevant to our organisation, which was very impressive. The training was well-structured and delivered at a good pace, with time for questions.
Samuel Taylor - Manchester Metropolitan University
Course - Alteryx for Data Analysis
That it was very practical.
Alfonso Ramos - Banco de Mexico
Course - Fundamentos de Integración de Datos Pentaho
Machine Translated
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
