Description
Apache Superset: From Zero to Hero with Docker and AWS. This course teaches you how to work with the Apache Superset business intelligence platform from basic to advanced. The course content starts with setting up a local Superset environment using Docker and covers connecting to various data sources such as PostgreSQL and Snowflake. It then moves on to advanced topics including implementing row-level security, customizing the platform appearance to match your organization’s branding, and configuring tools such as Redis and Celery for background processing and automated reporting. The final part of the course covers professional and reliable deployment of services on Amazon Web Services (AWS) using the infrastructure-as-code approach to prepare the system for large-scale operational environments. With an emphasis on practical aspects and real-world examples, this course provides the skills necessary to manage the full lifecycle of a Superset.
What you will learn
- A thorough understanding of the concept of Apache Superset, its key components, and the place of this tool in the modern business intelligence ecosystem.
- Learn how to install and run Superset locally using Docker and manage containers, networks, and storage volumes.
- Reviewing the user interface, integrating Superset with databases like Snowflake, and designing deep analytics dashboards.
- Configure skins, implement row-level security, use Jinja and CSS formatting to align the Superset’s appearance with the organization’s identity.
- Configure and deploy a superset in the AWS cloud environment using ECS, RDS, and Redis services for production-level use.
- Build interactive dashboards with real data and learn the details of advanced filtering in data.
- Set up alerts, automatic reports, and schedule notifications systematically.
This course is suitable for people who:
- Business Intelligence Developers (BI Developers): People looking for powerful, open source alternatives to tools like Power BI or Tableau.
- Data Analysts: Those who want to experience modern, flexible, and professional visualization tools beyond typical software.
- Data Engineers: Professionals responsible for integrating supersets into data pipelines, deploying cloud infrastructures, or analytics stacks.
- Data-driven professionals: People who are interested in gaining insights from data, building management dashboards, and using open source technologies.
Course details for Apache Superset: From Zero to Hero with Docker and AWS
- Publisher: Udemy
- Instructor: Renat Murtazin
- Training level: Beginner to advanced
- Training duration: 9 hours and 13 minutes
- Number of lessons: 122
Course syllabus as of 2025/12
Prerequisites for the Apache Superset: From Zero to Hero with Docker and AWS course
- Basic SQL knowledge – understanding SELECT queries, joins, and aggregations.
- (Optional) very basic Python familiarity – variables, lists.
- (Optional) familiarity with basic linux commands.
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 720p
Download link
Downloadly
Rapidgator link
File(s) password: www.downloadly.ir
File size
4.9 GB
