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Course Outline

1. Introduction to Apache Superset

  • An overview of Apache Superset
  • The role of Superset in modern Business Intelligence (BI)
  • Comparison with conventional BI platforms
  • Core features and capabilities
  • Common use cases and business scenarios
  • Introduction to the Superset ecosystem

2. Apache Superset Architecture and Environment Setup

  • Architectural overview of Apache Superset
  • Core components:
    • Web application
    • Metadata database
    • Visualisation layer
    • Security layer
  • Installing Apache Superset
  • Executing Superset via containers
  • Setting up development and production environments
  • Overview of the user interface
  • Navigating Superset workspaces

3. Managing Users, Roles, and Security

  • User administration
  • Role-Based Access Control (RBAC)
  • Permission structures and security models
  • Controlling access to datasets and dashboards
  • Establishing secure BI environments
  • Best practices for enterprise-grade deployments

4. Connecting Data Sources

  • Understanding supported data sources
  • Linking to relational databases:
    • PostgreSQL
    • MySQL
    • SQL Server
    • Oracle
  • Connecting to cloud-based databases
  • Configuring database connections
  • Managing datasets
  • Testing and troubleshooting data links

5. Working with Datasets and Data Preparation

  • Understanding datasets within Superset
  • Creating datasets from databases
  • Defining columns and metrics
  • Creating calculated columns
  • Utilising SQL-based datasets
  • Data preparation best practices
  • Optimising datasets for analysis

6. Exploring and Analyzing Data

  • Utilising the Explore interface
  • Filtering and slicing data
  • Writing custom queries
  • Selecting appropriate visualisation types
  • Conducting exploratory data analysis
  • Understanding metrics and dimensions
  • Handling large datasets

7. Creating Data Visualizations

  • Overview of Superset visualisation options
  • Creating charts:
    • Bar charts
    • Line charts
    • Pie charts
    • Tables
    • Heatmaps
    • Geographic visualisations
    • Time-series charts
  • Customising visualisation settings
  • Formatting charts for business stakeholders
  • Enhancing data storytelling

8. Advanced Visualization Techniques

  • Building interactive visualisations
  • Applying filters and controls
  • Working with calculated metrics
  • Advanced chart configurations
  • Combining multiple analytical perspectives
  • Optimising visualisation performance

9. Building Dashboards

  • Dashboard design principles
  • Creating dashboards from charts
  • Arranging dashboard layouts
  • Adding interactive filters
  • Creating business-focused dashboards
  • Sharing dashboards with users
  • Exporting and presenting reports

10. SQL Integration with Apache Superset

  • Overview of SQL Lab
  • Writing SQL queries
  • Creating virtual datasets
  • Utilising SQL for advanced analysis
  • Query optimisation
  • Working with joins and complex queries
  • Managing SQL-based analytics workflows

11. Advanced Analytics and Reporting

  • Creating KPIs and business metrics
  • Trend analysis
  • Comparative analysis
  • Time-based reporting
  • Creating executive dashboards
  • Scheduling and sharing reports
  • Supporting data-driven decision-making

12. Performance Optimization

  • Managing large datasets
  • Query performance optimisation
  • Database-side optimisation
  • Caching strategies
  • Managing dashboard load times
  • Best practices for scalable deployments

13. Troubleshooting and Administration

  • Common installation issues
  • Database connection problems
  • Debugging visualisation errors
  • Managing Superset configuration
  • Monitoring Superset performance
  • Maintaining production environments

14. Hands-on Workshop and Summary

  • Connecting Apache Superset to a database
  • Creating datasets
  • Building interactive visualisations
  • Developing a complete dashboard
  • Applying security and sharing settings
  • Reviewing best practices
  • Questions and answers
  • Next steps for advanced Apache Superset usage

Requirements

  • Familiarity with business intelligence and data visualisation concepts.

Target Audience

  • Data analysts
  • Data scientists
 14 Hours

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