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Course Outline

Introduction to Apache Superset

  • Overview of Apache Superset and its capabilities.
  • The role of Superset in data visualization and business intelligence.

Installing Apache Superset

  • System requirements and pre-installation steps.
  • Installation options: From scratch, Docker, Kubernetes.

Configuring Apache Superset

  • Setting up the environment and initializing the database.
  • Creating an admin user and loading example data.

Managing Superset Environments

  • User management and role-based access control.
  • Data source configuration and management.

Dashboard and Visualization Creation

  • Building interactive dashboards.
  • Creating various types of visualizations.

Security and Access Control

  • Configuring authentication and authorization.
  • Implementing security best practices.

Performance Monitoring and Optimization

  • Monitoring Superset performance and usage.
  • Best practices for maintaining a responsive environment.

Troubleshooting and Maintenance

  • Identifying and resolving common Superset issues.
  • Regular maintenance tasks and checks.

Advanced Topics

  • Customizing Superset with plugins and API.
  • Scaling and upgrading Superset deployments.

Summary and Next Steps

Requirements

  • Basic knowledge of SQL and databases.
  • Familiarity with the command-line interface and Linux environment.
  • Experience with data visualization tools is advantageous.

Audience

  • System administrators.
  • IT professionals responsible for data management solutions.
  • Technical staff involved in deploying business intelligence tools.
 28 Hours

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