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Course Outline
1. Introduction to Apache Superset
- Definition and overview of Apache Superset
- The role of Superset in contemporary Business Intelligence (BI)
- Comparison with conventional BI platforms
- Key features and core capabilities
- Typical use cases and business applications
- Overview of the Superset ecosystem
2. Apache Superset Architecture and Environment Setup
- Architectural overview of Apache Superset
- Core components:
- Web application
- Metadata database
- Visualization layer
- Security layer
- Installation procedures for Apache Superset
- Running Superset via containerization
- Configuration of development and production environments
- User interface walkthrough
- Navigating the Superset workspace
3. Managing Users, Roles, and Security
- User account management
- Role-based access control (RBAC)
- Permissions and security frameworks
- Controlling access to datasets and dashboards
- Establishing secure BI environments
- Best practices for enterprise-level deployments
4. Connecting Data Sources
- Understanding supported data sources
- Connecting to relational databases:
- PostgreSQL
- MySQL
- SQL Server
- Oracle
- Integrating cloud-based databases
- Configuring database connections
- Dataset management
- Testing and troubleshooting data linkages
5. Working with Datasets and Data Preparation
- Concepts of datasets in 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. Exploring and Analyzing Data
- Utilizing the Explore interface
- Applying filters and slicing data
- Constructing custom queries
- Selecting suitable visualization types
- Conducting exploratory data analysis
- Understanding the distinction between metrics and dimensions
- Handling large volumes of data
7. Creating Data Visualizations
- Overview of Superset’s visualization options
- Generating charts:
- Bar charts
- Line charts
- Pie charts
- Tables
- Heatmaps
- Geographic visualizations
- Time-series charts
- Adjusting visualization settings
- Formatting charts for business stakeholders
- Enhancing data storytelling techniques
8. Advanced Visualization Techniques
- Building interactive visual elements
- Implementing filters and controls
- Working with calculated metrics
- Advanced chart configuration options
- Integrating multiple analytical perspectives
- Optimizing visualization performance
9. Building Dashboards
- Principles of dashboard design
- Creating dashboards from existing charts
- Organizing dashboard layouts
- Adding interactive filtering capabilities
- Developing business-centric dashboards
- Sharing dashboards with team members
- Exporting and presenting reports
10. SQL Integration with Apache Superset
- Overview of SQL Lab
- Writing SQL queries
- Creating virtual datasets
- Utilizing SQL for advanced analytics
- Optimizing query performance
- Handling joins and complex query structures
- Managing SQL-driven analytics workflows
11. Advanced Analytics and Reporting
- Defining KPIs and business metrics
- Conducting trend analysis
- Performing comparative analysis
- Generating time-based reports
- Creating executive-level dashboards
- Scheduling and distributing reports
- Fostering data-driven decision-making processes
12. Performance Optimization
- Handling large datasets efficiently
- Optimizing query execution
- Database-level optimization techniques
- Implementing caching strategies
- Managing dashboard load times
- Best practices for scalable infrastructure
13. Troubleshooting and Administration
- Resolving common installation issues
- Addressing database connection errors
- Debugging visualization problems
- Managing Superset configuration files
- Monitoring system performance
- Maintaining production environments
14. Hands-on Workshop and Summary
- Connecting Apache Superset to a live database
- Constructing datasets
- Building interactive visualizations
- Developing a comprehensive dashboard
- Configuring security and sharing permissions
- Reviewing key best practices
- Q&A session
- Next steps for advanced Apache Superset usage
Requirements
- Familiarity with business intelligence concepts and data visualization tools.
Target Audience
- Data Analysts
- Data Scientists
14 Hours
Testimonials (7)
Gunnar was a great trainer. He pitched the training at the right level given the varying levels of experience and expertise of the attendees. He was very personable and injected as much as excitement and humour as he could across the 2 days. He made sure that we were engaged throughout and tried to ensure that all our questions were answered in an open and honest manner.
Seaman - PowerX Technology Ltd
Course - Getting Started with Apache Superset
Trainer cukup terbuka dalam sharing
Wilianto Wilianto - PT. Supra Matra Abadi
Course - Getting Started with Apache Superset
I like the exploration and visualisation
Vincent Kwenady - PT. Supra Matra Abadi
Course - Getting Started with Apache Superset
Instalasi dan Visualisasi data
Raihan Ahmad Bangun - PT. Supra Matra Abadi
Course - Getting Started with Apache Superset
I like how the trainer is very interactive with the audience and answers every question. He is also very helpful with aiding the audience.
Parnika Kaur - PT. Supra Matra Abadi
Course - Getting Started with Apache Superset
Flexibility and approach to different topics and questions addressed.
Marcin Bochniak - Nokia Solutions and Networks Sp. z o.o.
Course - Getting Started with Apache Superset
possibility to answer own questions, free discussion
