Docker for Data Engineering: Postgres, Docker Compose, and Real-World Workflows
Alexey Grigorev is hosting a live hands-on workshop to explore how Docker can simplify your data workflows, from setting up databases to packaging your scripts for reproducibility.
This session is open to everyone interested in learning practical Docker skills for data engineering and analytics.
During the workshop, we’ll walk through a complete workflow using Docker, PostgreSQL, pgAdmin, and Docker Compose, showing how to run and connect multiple services with minimal setup effort.
What you’ll learn:
Why Docker is essential for modern data work
Running PostgreSQL in a Docker container and connecting it to your local environment
Connecting with pgcli or directly from Jupyter notebooks
Loading and exploring the NYC Taxi dataset
Managing databases visually with pgAdmin 4 (latest UI)
Converting notebooks to scripts and Dockerizing them
Running multi-container setups with Docker Compose
Understanding Docker networking, port mapping, and volumes
The workshop will be recorded and later used to refresh the Docker module of the Data Engineering Zoomcamp, so you’ll also get a preview of what’s coming in the new course release.
Thinking about DE Zoomcamp?
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here.
About the Speaker
Alexey Grigorev is the Founder of DataTalks.Club and creator of the Zoomcamp series.
Alexey is a seasoned software and ML engineer with over 10 years in engineering and 6+ years in machine learning. He has deployed large-scale ML systems at companies like OLX Group and Simplaex, authored several technical books including Machine Learning Bookcamp, and is a Kaggle Master with a 1st place finish in the NIPS'17 Criteo Challenge.
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