Course · Intermediate
Docker Fundamentals
"It worked on my machine" is one of the most frustrating problems in data engineering. Your pipeline works locally but breaks when a teammate runs it, or your development environment doesn't match production. Docker solves this by creating isolated, reproducible environments that work the same everywhere. This course teaches you to containerize data workflows the way professional teams do. You'll start by running databases in containers without installing anything permanently on your machine. Then you'll use Docker Compose to orchestrate multi-service data pipelines with a single command. Finally, you'll learn production-ready patterns—health checks, multi-stage builds, security hardening, and secret management—that prepare your containers for staging and production environments. Whether you're building ETL pipelines, testing with temporary databases, or collaborating across teams, you'll gain the containerization skills that modern data engineering requires.
- Intermediate friendly
- 6 hrs
- 3 lessons
- Premium
Course overview
Create reproducible data engineering environments with Docker, ensuring pipelines run the same across machines and teams.
What's inside
3 lessons
- 01 120 minIntroduction to Docker
Our Introduction to Docker simplifies setup by running PostgreSQL in a container. Quickly build isolated and reproducible environments.
- 02 120 minIntro to Docker Compose
Learn how to simplify multi-container data workflows with Docker Compose. Build a local ETL pipeline connecting Python and PostgreSQL.
- 03 120 minAdvanced Concepts in Docker Compose
Learn advanced Docker Compose techniques like health checks, multi-stage builds, non-root users, and secure configs for production pipelines.
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