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Duration 28 hours
Course Outline
Introduction to Apache Superset
- General overview of Apache Superset and its features
- Superset's contribution to data visualization and business intelligence
Deployment of Apache Superset
- Hardware requirements and preparatory steps
- Installation methods: manual setup, Docker, and Kubernetes
Setup and Configuration of Apache Superset
- Environment setup and database initialization
- Creating administrative accounts and importing sample datasets
Administration of Superset Environments
- User administration and role-based access controls
- Setting up and managing data sources
Developing Dashboards and Visualizations
- Constructing dynamic dashboards
- Generating diverse visualization types
Security and Permission Management
- Setting up authentication and authorization frameworks
- Applying security best practices
Performance Tracking and Optimization
- Monitoring Superset's operational metrics and usage
- Strategies for maintaining a high-performance environment
Diagnosis and Upkeep
- Pinpointing and fixing frequent Superset challenges
- Routine maintenance procedures and health checks
Advanced Concepts
- Extending Superset capabilities via plugins and APIs
- Scaling and updating Superset infrastructures
Conclusions and Future Directions
Requirements
- Fundamental knowledge of SQL and database structures
- Proficiency with command-line interfaces and Linux systems
- Prior exposure to data visualization tools is advantageous
Target Audience
- System administrators
- IT specialists overseeing data management solutions
- Technical teams engaged in deploying business intelligence tools
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
