Apache Superset: From Zero to Hero with Docker and AWS | Udemy [Update 10/2025]
English | Size: 4.9 GB
Genre: eLearning[/center]

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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