Apache Superset: From Zero To Hero With Docker And Aws
Published 10/2025
Created by Renat Murtazin
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 122 Lectures ( 9h 13m) | Size: 5.1 GB
Learn to Install, Configure, and Deploy Apache Superset on the Cloud
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.
Requirements
Basic SQL knowledge - understanding SELECT queries, joins, and aggregations.
(Optional) very basic Python familiarity - variables, lists
(Optional) familiarity with basic linux commands
Description
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 DockerBuild interactive dashboards and visualizationsConnect to databases like PostgreSQL and SnowflakeCustomize Superset to match your brandImplement advanced features such as Jinja templating, Row Level Security, and custom stylingSet up alerts, reports, and background task processingDeploy your Superset environment on AWS with production-ready componentsThis 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.Important - As the course has just been released, there are no subtitles. They will be added by Udemy automatically later on. Hope for your understanding!Section 1: IntroductionGet to know the course, its audience, and what tools we'll use.Meet your instructor and understand course goalsLearn who this course is for and what to expectReview the setup and tools requiredSection 2: OverviewUnderstand Superset's architecture and how it compares with other BI tools.Explore Superset's core components and data flowCompare Superset with Tableau, Power BI, and LookerLearn about different installation optionsSection 3: Docker IntroductionBuild the foundation to run Superset locally using Docker.Learn what containers, images, and volumes areUnderstand Docker Compose and how services interactSection 4: Getting Started with SupersetDive into the Superset UI and learn its core capabilities.Explore dashboards, datasets, and visualizationsUnderstand the navigation and main featuresDiscover how Superset organizes data sourcesSection 5: Building the COVID-19 DashboardCreate your first interactive dashboard using real data.Connect Superset to a databaseBuild and configure visualizations step by stepAssemble and publish your first dashboardSection 6: CustomizationMake Superset reflect your brand and style.Change logos, colors, and themesSection 7: Snowflake DashboardWork with a cloud data source and advanced filters.Connect Superset to SnowflakeExplore datasets and build a new dashboardLearn Superset filtering in detailSection 8: Advanced FeaturesUnlock Superset's most powerful capabilities.Use Jinja templating for dynamic queriesImplement Row Level Security (RLS)Manage roles and permissionsAdd custom CSS stylingSection 9: Alerts & ReportsEnable automated reports and notifications in Superset.Set up Celery and Redis for async tasksConfigure email alerts and report schedulingUnderstand production-level configuration needsSection 10: AWS DeploymentDeploy Superset in the cloud like a pro using IaC approach.Set up Superset on AWS ECS FargateIntegrate with RDS PostgreSQL and RedisEnsure 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.
Homepage
Code:
Bitte
Anmelden
oder
Registrieren
um Code Inhalt zu sehen!