Watch Docker For Data Engineering Video Tutorials & Courses

In this session, Alexey Grigorev walks through essential concepts and practical workflows that power modern data engineering. Drawing from real world project experience, he demonstrates how Docker, Python, Postgres, and efficient data processing techniques form a unified toolkit for building reliable data pipelines and production ready environments. You will learn about: - Foundational Docker concepts including containerization, isolation, stateless design, and image management - Practical use of core Docker commands and volume mapping for persistent data - Building custom images with Dockerfile and configuring automated execution with ENTRYPOINT - Running and managing Postgres inside containers with correct port exposure for host access - Managing Python environments with UV for reproducible development - Processing CSV and mixed type data using Pandas - Strategies for optimized ingestion with chunked reading - Creating command line interfaces with Click - Solving container connectivity through Docker networks and Docker Compose Links: - Telegram: https://t.me/dezoomcamp - Workshop: https://github.com/alexeygrigorev/workshops/tree/main/dezoomcamp-docker - Course: https://github.com/DataTalksClub/data-engineering-zoomcamp TIMECODES: 00:00 Docker and Python prerequisites for the workshop 09:33 Core definition of Docker containerization 11:42 Docker container isolation and stateless behavior 12:12 First Docker command testing Docker run hello world 14:45 Understanding stateless containers and Docker image snapshots 20:46 Data persistence using Docker volume mapping 28:01 Data engineering overview for building data pipelines 38:17 Python environment management with UV 44:16 Creating a custom Docker image with a Dockerfile 48:08 Setting the ENTRYPOINT for automated container execution 56:30 Running Postgres in Docker for database management 1:01:36 Host access to Postgres via container port mapping 1:17:01 Pandas data processing for CSV schemaless data types 1:24:51 Optimized data ingestion with chunked reading 1:36:50 Building a command line interface with Click 1:48:19 Resolving container communication using Docker networks 1:59:39 Multi container orchestration with Docker Compose This talk is ideal for aspiring and intermediate data engineers, machine learning practitioners, analysts transitioning to engineering roles, and software engineers who want a practical introduction to container based workflows and reproducible data processing environments. Connect with DataTalks.Club: - Join the community - https://datatalks.club/slack.html - Subscribe to our Google calendar to have all our events in your calendar - https://calendar.google.com/calendar/r?cid=ZjhxaWRqbnEwamhzY3A4ODA5azFlZ2hzNjBAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQ - Check other upcoming events - https://lu.ma/dtc-events - GitHub: https://github.com/DataTalksClub - LinkedIn - https://www.linkedin.com/company/datatalks-club/ - Twitter - https://twitter.com/DataTalksClub - Website - https://datatalks.club/ Connect with Alexey - Twitter - https://twitter.com/Al_Grigor - Linkedin - https://www.linkedin.com/in/agrigorev/ Check our free online courses: - ML Engineering course - http://mlzoomcamp.com - Data Engineering course - https://github.com/DataTalksClub/data-engineering-zoomcamp - MLOps course - https://github.com/DataTalksClub/mlops-zoomcamp - LLM course - https://github.com/DataTalksClub/llm-zoomcamp - Open-source LLM course: https://github.com/DataTalksClub/open-source-llm-zoomcamp - AI Dev Tools course: https://github.com/DataTalksClub/ai-dev-tools-zoomcamp 👉🏼 Read about all our courses in one place - https://datatalks.club/blog/guide-to-free-online-courses-at-datatalks-club.html 👋🏼 Support/inquiries If you want to support our community, use this link - https://github.com/sponsors/alexeygrigorev If you’re a company, reach us at alexey@datatalks.club #docker #python #postgres #dataengineering #dockercompose #dockernetworks #pandas #clicklibrary #uvpython #containerization #datapipelines #softwareengineering #datascience #codingtutorial #devops #cloudengineering #programming #etl #bigdata #datatalksclub Key Highlights & Overview: Understanding <strong>Docker For Data Engineering</strong> requires clear step-by-step guidance and practical hands-on visual demonstrations. Explore curated video courses, expert walkthroughs, and detailed lesson notes today on <strong>TutorTube</strong>.