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Duration 14 hours
Course Outline
1. Introduction to Apache Superset
- Defining Apache Superset
- The function of Superset in contemporary Business Intelligence (BI)
- Contrasting Superset with conventional BI platforms
- Core features and capabilities
- Common applications and business scenarios
- Survey of the Superset ecosystem
2. Apache Superset Architecture and Environment Setup
- Architectural overview of Apache Superset
- Essential components:
- Web application interface
- Metadata database
- Visualization layer
- Security layer
- Installation procedures for Apache Superset
- Executing Superset via containerization
- Configuration of development and production environments
- User interface walkthrough
- Navigating through Superset workspaces
3. Managing Users, Roles, and Security
- User administration
- Role-based access control (RBAC)
- Permission structures and security frameworks
- Regulating access to datasets and dashboards
- Establishing secure BI environments
- Best practices for enterprise-level deployments
4. Connecting Data Sources
- Review of supported data sources
- Linking relational databases:
- PostgreSQL
- MySQL
- SQL Server
- Oracle
- Integration with cloud-based databases
- Database connection setup
- Dataset management
- Verification and troubleshooting of data connections
5. Working with Datasets and Data Preparation
- Concepts of datasets within 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. Exploring and Analyzing Data
- Utilizing the Explore interface
- Filtering and slicing data for analysis
- Formulating custom queries
- Choosing suitable visualization types
- Conducting exploratory data analysis
- Distinguishing between metrics and dimensions
- Handling large datasets effectively
7. Creating Data Visualizations
- Survey of Superset visualization options
- Chart creation methods:
- Bar charts
- Line charts
- Pie charts
- Tabular data
- Heatmaps
- Geographic visualizations
- Time-series charts
- Adjusting visualization parameters
- Formatting charts for business stakeholders
- Enhancing data storytelling capabilities
8. Advanced Visualization Techniques
- Developing interactive visualizations
- Incorporating filters and controls
- Implementing calculated metrics
- Advanced chart configuration
- Synthesizing multiple analytical viewpoints
- Optimizing visualization performance
9. Building Dashboards
- Principles of dashboard design
- Constructing dashboards from existing charts
- Structuring dashboard layouts
- Integrating interactive filters
- Developing business-oriented dashboards
- Distributing dashboards to users
- Exporting and presenting reports
10. SQL Integration with Apache Superset
- Introduction to SQL Lab
- Composing SQL queries
- Establishing virtual datasets
- Leveraging SQL for sophisticated analysis
- Query optimization techniques
- Managing joins and complex queries
- Overseeing SQL-based analytics workflows
11. Advanced Analytics and Reporting
- Defining KPIs and business metrics
- Trend analysis
- Comparative studies
- Time-based reporting mechanisms
- Designing executive-level dashboards
- Scheduling and report distribution
- Facilitating data-driven decision-making
12. Performance Optimization
- Handling large datasets
- Optimizing query execution
- Database-side performance tuning
- Caching strategies
- Controlling dashboard load times
- Best practices for scalable systems
13. Troubleshooting and Administration
- Resolving common installation errors
- Addressing database connection issues
- Diagnosing visualization faults
- Supervising Superset configuration
- Monitoring system performance
- Maintenance of production environments
14. Hands-on Workshop and Summary
- Establishing connection between Apache Superset and a database
- Dataset generation
- Constructing interactive visualizations
- Assembling a comprehensive dashboard
- Applying security protocols and sharing configurations
- Recap of best practices
- Q&A session
- Pathways for advanced Apache Superset utilization
Requirements
- Familiarity with business intelligence principles and data visualization tools.
Intended Audience
- Data analysts
- Data scientists
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
