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 Duration 14 hours

Course Outline

1. Introduction to Apache Superset

  • Understanding what Apache Superset is.
  • The function of Superset in contemporary Business Intelligence (BI).
  • Comparison against traditional BI platforms.
  • Core features and functional capabilities.
  • Common use cases and business applications.
  • An overview of the Superset ecosystem.

2. Architecture and Environment Configuration

  • Examining the architecture of Apache Superset.
  • Essential components:
    • Web application
    • Metadata database
    • Visualization layer
    • Security layer
  • Installation procedures for Apache Superset.
  • Executing Superset via containers.
  • Setting up development and production environments.
  • Navigating the user interface.
  • Exploring Superset workspaces.

3. User, Role, and Security Management

  • Handling user administration.
  • Implementing Role-Based Access Control (RBAC).
  • Defining permissions and security models.
  • Controlling access to datasets and dashboards.
  • Establishing secure BI environments.
  • Best practices for enterprise-level deployments.

4. Linking Data Sources

  • Reviewing supported data sources.
  • Connecting to relational databases:
    • PostgreSQL
    • MySQL
    • SQL Server
    • Oracle
  • Integrating cloud-based databases.
  • Configuring database connections.
  • Managing datasets.
  • Testing and resolving data connection issues.

5. Dataset Management and Data Preparation

  • Comprehending datasets within Superset.
  • Generating datasets from databases.
  • Defining columns and metrics.
  • Creating calculated columns.
  • Utilizing SQL-based datasets.
  • Best practices for data preparation.
  • Optimizing datasets for analytical purposes.

6. Data Exploration and Analysis

  • Using the Explore interface.
  • Filtering and segmenting data.
  • Writing custom queries.
  • Choosing the right visualization types.
  • Conducting exploratory data analysis.
  • Understanding metrics and dimensions.
  • Handling large datasets.

7. Data Visualization Creation

  • Overview of Superset’s visualization options.
  • Building charts:
    • Bar charts
    • Line charts
    • Pie charts
    • Tables
    • Heatmaps
    • Geographic visualizations
    • Time-series charts
  • Tailoring visualization settings.
  • Formatting charts for business stakeholders.
  • Enhancing data storytelling.

8. Advanced Visualization Strategies

  • Developing interactive visualizations.
  • Utilizing filters and controls.
  • Working with calculated metrics.
  • Advanced chart configuration options.
  • Merging multiple analytical viewpoints.
  • Optimizing visualization performance.

9. Dashboard Construction

  • Principles of dashboard design.
  • Assembling dashboards from individual charts.
  • Structuring dashboard layouts.
  • Incorporating interactive filters.
  • Creating dashboards tailored to business needs.
  • Distributing dashboards to users.
  • Exporting and presenting reports.

10. SQL Integration with Apache Superset

  • Introduction to SQL Lab.
  • Drafting SQL queries.
  • Generating virtual datasets.
  • Applying SQL for in-depth analysis.
  • Optimizing query performance.
  • Handling joins and complex queries.
  • Managing SQL-driven analytical workflows.

11. Advanced Analytics and Reporting

  • Defining KPIs and business metrics.
  • Analyzing trends.
  • Conducting comparative analysis.
  • Time-based reporting.
  • Developing executive-level dashboards.
  • Scheduling and distributing reports.
  • Facilitating data-driven decision-making.

12. Performance Tuning

  • Managing large datasets.
  • Enhancing query performance.
  • Database-side optimizations.
  • Caching strategies.
  • Controlling dashboard load times.
  • Best practices for scalable deployments.

13. Troubleshooting and Administration

  • Common installation challenges.
  • Database connection difficulties.
  • Debugging visualization errors.
  • Overseeing Superset configuration.
  • Monitoring Superset performance.
  • Maintaining production environments.

14. Practical Workshop and Recap

  • Connecting Apache Superset to a database.
  • Creating datasets.
  • Building interactive visualizations.
  • Developing a comprehensive dashboard.
  • Applying security and sharing configurations.
  • Reviewing key best practices.
  • Questions and answers session.
  • Next steps for advanced use of Apache Superset.

Requirements

  • Prior exposure to business intelligence and data visualization tools.

Target Audience

  • Data analysts
  • Data scientists

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