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Duration 28 hours
Course Outline
Introduction to Apache Superset
- Overview of Apache Superset and its core capabilities
- The role of Superset in data visualization and business intelligence
Installing Apache Superset
- System requirements and pre-installation procedures
- Installation methods: From scratch, Docker, Kubernetes
Configuring Apache Superset
- Setting up the environment and initializing the database
- Creating an admin user and loading sample data
Managing Superset Environments
- User management and role-based access control
- Data source configuration and administration
Creating Dashboards and Visualizations
- Building interactive dashboards
- Developing various types of visualizations
Security and Access Control
- Configuring authentication and authorization
- Applying security best practices
Performance Monitoring and Optimization
- Monitoring Superset performance and usage patterns
- Best practices for maintaining a responsive environment
Troubleshooting and Maintenance
- Identifying and resolving common Superset issues
- Executing regular maintenance tasks and checks
Advanced Topics
- Customizing Superset using plugins and the API
- Scaling and upgrading Superset deployments
Summary and Next Steps
Requirements
- Fundamental knowledge of SQL and databases
- Proficiency with command-line interfaces and Linux environments
- Experience with data visualization tools is beneficial
Target Audience
- System administrators
- IT professionals overseeing data management solutions
- Technical staff engaged in business intelligence tool deployment
Testimonials (2)
The trainer was knowledgeable and interacted well with the participants.
Phetsile - Palladium Group
Course - Apache Superset for Administrators
The course material was commendable, featuring insightful overviews of Linux and Superset. While the Python component was comprehensive, it demanded a substantial coding proficiency
