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Course Outline
1. Introduction to Apache Superset
- Defining Apache Superset
- The function of Superset in contemporary Business Intelligence (BI)
- Contrasting with legacy BI platforms
- Core features and functionalities
- Common use cases and business applications
- Overview of the Superset ecosystem
2. Architecture of Apache Superset and Environment Setup
- Architectural overview of Apache Superset
- Essential components:
- Web application layer
- Metadata database
- Visualization engine
- Security framework
- Installation procedures for Apache Superset
- Executing Superset via containers
- Setting up development and production environments
- Introduction to the user interface
- Navigating through Superset workspaces
3. Administration of Users, Roles, and Security
- User account management
- Implementing role-based access control (RBAC)
- Security models and permission structures
- Regulating access to datasets and dashboards
- Establishing secure BI environments
- Enterprise-level deployment best practices
4. Linking Data Sources
- Review of supported data sources
- Connecting to relational databases:
- PostgreSQL
- MySQL
- SQL Server
- Oracle
- Integration with cloud-based databases
- Configuring database connections
- Dataset management
- Validating and resolving data connection issues
5. Handling Datasets and Data Preparation
- Concept of datasets in Superset
- Generating datasets from databases
- Specifying columns and metrics
- Developing calculated columns
- Utilizing SQL-based datasets
- Best practices for data preparation
- Optimizing datasets for analytical purposes
6. Data Exploration and Analysis
- Utilizing the Explore interface
- Applying filters and data slicing
- Formulating custom queries
- Choosing suitable visualization types
- Conducting exploratory data analysis
- Comprehending metrics and dimensions
- Handling large-scale datasets
7. Development of Data Visualizations
- Survey of Superset visualization capabilities
- Generating charts:
- Bar charts
- Line charts
- Pie charts
- Tables
- Heatmaps
- Geographic visualizations
- Time-series charts
- Adjusting visualization parameters
- Styling charts for business audiences
- Enhancing data storytelling techniques
8. Advanced Visualization Methods
- Creating interactive visual elements
- Implementing filters and controls
- Working with computed metrics
- Advanced chart settings
- Integrating multiple analytical viewpoints
- Optimizing visualization performance
9. Dashboard Construction
- Principles of dashboard design
- Assembling dashboards from existing charts
- Organizing dashboard layouts
- Incorporating interactive filters
- Designing business-centric dashboards
- Distributing dashboards to users
- Exporting and presenting reports
10. SQL Integration with Apache Superset
- Introduction to SQL Lab
- Drafting SQL queries
- Generating virtual datasets
- Leveraging SQL for sophisticated analysis
- Optimizing queries
- Handling joins and complex queries
- Managing SQL-driven analytics workflows
11. Advanced Analytics and Reporting
- Formulating KPIs and business metrics
- Trend evaluation
- Comparative analysis
- Time-based reporting
- Developing executive-level dashboards
- Scheduling and disseminating reports
- Facilitating data-driven decision processes
12. Performance Tuning
- Processing large datasets efficiently
- Improving query performance
- Optimization at the database level
- Implementing caching strategies
- Controlling dashboard load times
- Best practices for scalable deployments
13. Troubleshooting and System Administration
- Resolving common installation challenges
- Addressing database connection errors
- Debugging visualization defects
- Administering Superset configuration
- Monitoring Superset performance
- Maintaining production stability
14. Practical Workshop and Recap
- Linking Apache Superset to a database
- Constructing datasets
- Building interactive visual components
- Developing a comprehensive dashboard
- Applying security protocols and sharing rules
- Revisiting best practices
- Question and answer session
- Next steps for advanced Apache Superset usage
Requirements
- Familiarity with business intelligence concepts and data visualization practices.
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
