
English | Size: 4.9 GB
Genre: eLearning
Learn everything you need about Apache Superset: from Installation to Cloud Deployment
What you’ll learn
Grasp what Superset is, its key components, and how it fits into the modern BI ecosystem.
Learn how to install and run Superset locally with Docker, managing containers, networks, and volumes.
Explore the UI, Integrate Superset with databases like Snowflake, and design insightful dashboards.
Configure themes, Implement Row-Level Security, Jinja templating, and CSS, and layouts to align Superset’s appearance with your organisation’s identity.
Configure and launch Superset on AWS using ECS, RDS, and Redis for production use.
Welcome to “Apache Superset: From Zero to Hero with Docker and AWS”!
This hands-on course is designed to take you from your very first dashboard to a fully deployed production environment in the cloud.
Apache Superset is one of the fastest-growing open-source BI platforms used by data teams worldwide. Whether you’re a Data Analyst, BI Developer, or Data Engineer, this course will guide you step by step through installation, configuration, dashboard building, customization, and enterprise-grade deployment.
By the end of the course, you’ll be able to:
- Install and run Superset locally using Docker
- Build interactive dashboards and visualizations
- Connect to databases like PostgreSQL and Snowflake
- Customize Superset to match your brand
- Implement advanced features such as Jinja templating, Row Level Security, and custom styling
- Set up alerts, reports, and background task processing
- Deploy your Superset environment on AWS with production-ready components
This course focuses on real-world examples, clear explanations, and practical demonstrations – no unnecessary theory, just the knowledge you need to become confident with Apache Superset.
Section 1: Introduction
Get to know the course, its audience, and what tools we’ll use.
- Meet your instructor and understand course goals
- Learn who this course is for and what to expect
- Review the setup and tools required
Section 2: Overview
Understand Superset’s architecture and how it compares with other BI tools.
- Explore Superset’s core components and data flow
- Compare Superset with Tableau, Power BI, and Looker
- Learn about different installation options
Section 3: Docker Introduction
Build the foundation to run Superset locally using Docker.
- Learn what containers, images, and volumes are
- Understand Docker Compose and how services interact
Section 4: Getting Started with Superset
Dive into the Superset UI and learn its core capabilities.
- Explore dashboards, datasets, and visualizations
- Understand the navigation and main features
- Discover how Superset organizes data sources
Section 5: Building the COVID-19 Dashboard
Create your first interactive dashboard using real data.
- Connect Superset to a database
- Build and configure visualizations step by step
- Assemble and publish your first dashboard
Section 6: Customization
Make Superset reflect your brand and style.
- Change logos, colors, and themes
Section 7: Snowflake Dashboard
Work with a cloud data source and advanced filters.
- Connect Superset to Snowflake
- Explore datasets and build a new dashboard
- Learn Superset filtering in detail
Section 8: Advanced Features
Unlock Superset’s most powerful capabilities.
- Use Jinja templating for dynamic queries
- Implement Row Level Security (RLS)
- Manage roles and permissions
- Add custom CSS styling
Section 9: Alerts & Reports
Enable automated reports and notifications in Superset.
- Set up Celery and Redis for async tasks
- Configure email alerts and report scheduling
- Understand production-level configuration needs
Section 10: AWS Deployment
Deploy Superset in the cloud like a pro using IaC approach.
- Set up Superset on AWS ECS Fargate
- Integrate with RDS PostgreSQL and Redis
- Ensure scalability, reliability, and secure access
Who this course is for:
- BI Developers looking for open-source alternatives to Power BI or Tableau.
- Data Analysts who want to explore modern, flexible visualization tools.
- Data Engineers integrating Superset into data pipelines, deployment or analytics stacks.
- Data-driven professionals passionate about insights, dashboards, and open-source BI.

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