Course Outline
1. Overview of Apache Superset
- Defining Apache Superset
- The function of Superset in contemporary Business Intelligence (BI)
- Benchmarking against conventional BI platforms
- Principal features and functional capabilities
- Standard applications and commercial contexts
- Survey of the Superset ecosystem
2. Superset Architecture and Environment Configuration
- Architectural overview of Apache Superset
- Essential components:
- Web application layer
- Metadata storage
- Visualization engine
- Security framework
- Procedure for installing Apache Superset
- Execution via containerized environments
- Configuration of development and production instances
- User interface walkthrough
- Navigating Superset workspaces
3. Administration of Users, Roles, and Security
- User account management
- Role-Based Access Control (RBAC)
- Permission structures and security paradigms
- Controlling access to datasets and dashboards
- Establishing secure BI frameworks
- Enterprise deployment best practices
4. Integration of Data Sources
- Comprehension of supported data sources
- Connecting to relational databases:
- PostgreSQL
- MySQL
- SQL Server
- Oracle
- Linking to cloud-based database services
- Configuring database connections
- Dataset administration
- Verification and troubleshooting of data links
5. Dataset Management and Data Preparation
- Conceptual understanding of Superset datasets
- Generating datasets from source databases
- Specifying columns and metrics
- Implementing calculated columns
- Leveraging SQL-based datasets
- Best practices in data preparation
- Optimizing datasets for analytical purposes
6. Data Exploration and Analysis
- Utilizing the Explore interface
- Applying data filtering and slicing techniques
- Formulating custom queries
- Choosing suitable visualization types
- Conducting exploratory data analysis
- Comprehending metrics and dimensions
- Handling large-scale datasets
7. Designing Data Visualizations
- Spectrum of Superset visualization options
- Chart creation:
- Bar charts
- Line charts
- Pie charts
- Tables
- Heatmaps
- Geographic visualizations
- Time-series charts
- Adjusting visualization parameters
- Formatting charts for business stakeholders
- Enhancing data narrative capabilities
8. Advanced Visualization Methods
- Developing interactive visualizations
- Incorporating filters and control elements
- Utilizing calculated metrics
- Advanced chart configurations
- Integrating multiple analytical viewpoints
- Optimizing visualization performance
9. Dashboard Construction
- Principles of dashboard design
- Generating dashboards from existing charts
- Structuring dashboard layouts
- Implementing interactive filters
- Creating business-oriented dashboards
- Distributing dashboards to users
- Exporting and presenting reports
10. SQL Integration within Apache Superset
- SQL Lab overview
- Drafting SQL queries
- Generating virtual datasets
- Employing SQL for sophisticated analysis
- Optimizing query performance
- Managing joins and complex queries
- Overseeing SQL-based analytical workflows
11. Advanced Analytics and Reporting
- Developing KPIs and business metrics
- Trend analysis
- Comparative studies
- Time-based reporting mechanisms
- Constructing executive dashboards
- Scheduling and distributing reports
- Facilitating data-driven decisions
12. Performance Tuning
- Managing large datasets
- Optimizing query efficiency
- Database-level optimizations
- Caching mechanisms
- Regulating dashboard load times
- Best practices for scalable deployments
13. Troubleshooting and System Administration
- Resolving common installation challenges
- Addressing database connection faults
- Diagnosing visualization errors
- Managing Superset configuration files
- Monitoring system performance
- Maintaining production environments
14. Practical Workshop and Recap
- Linking Apache Superset to a database
- Generating datasets
- Constructing interactive visualizations
- Developing a comprehensive dashboard
- Applying security and sharing protocols
- Reviewing best practices
- Q&A session
- Subsequent steps for advanced Superset utilization
Requirements
- Familiarity with Business Intelligence and data visualization concepts.
Target 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