Starting my Data Engineering journey with a foundational insight on Docker, Terraform and Google Cloud Platform

 The Data Engineering Zoomcamp 2025, led by Alexey Grigorev at DataTalksClub, offers an in-depth exploration of modern data engineering practices. The first module, "Containerization and Infrastructure as Code," serves as a foundational entry point into the course, equipping participants with essential skills for building and managing scalable data systems.

Module 1: Containerization and Infrastructure as Code

This module introduces participants to two pivotal concepts in data engineering: containerization and infrastructure as code (IaC). By leveraging these technologies, data engineers can create consistent, reproducible environments and automate the provisioning of infrastructure, leading to more efficient and reliable data pipelines.

Key Topics Covered:

  1. Introduction to Google Cloud Platform (GCP):

    • Participants are introduced to GCP, a leading cloud service provider offering a suite of tools and services for building and managing data systems.
    • The course provides guidance on setting up a GCP account, including information on free credits available for new users.

  2. Docker and Docker Compose:

    • The module delves into Docker, a platform that enables developers to package applications and their dependencies into containers, ensuring consistency across various environments.
    • Docker Compose is introduced as a tool for defining and running multi-container Docker applications, facilitating the orchestration of complex setups.

  3. Running PostgreSQL Locally with Docker:

    • Participants learn to deploy a local PostgreSQL database using Docker, providing a hands-on experience in managing databases within containerized environments.

  4. Setting Up Infrastructure on GCP with Terraform:

    • The course covers Terraform, an open-source IaC tool that allows users to define and provision infrastructure using a declarative configuration language.
    • Through practical exercises, participants gain experience in automating the setup of cloud resources on GCP, enhancing their ability to manage infrastructure efficiently.

Learning Outcomes:

By the end of this module, participants will have acquired the skills to:

  • Set up and configure a GCP environment tailored for data engineering tasks.
  • Utilize Docker and Docker Compose to create and manage containerized applications.
  • Deploy and manage a PostgreSQL database within a Docker container.
  • Automate the provisioning of cloud infrastructure using Terraform, ensuring reproducibility and scalability.

Additional Resources:

For those interested in a more interactive introduction to the course, DataTalksClub offers a pre-course Q&A session available on YouTube. This session provides insights into the course structure, expectations, and an opportunity to engage with the instructors.

The Data Engineering Zoomcamp 2025, under the guidance of Alexey Grigorev, offers a comprehensive curriculum designed to equip aspiring data engineers with the practical skills and knowledge necessary to excel in the field. The first module lays a solid foundation in containerization and infrastructure management, setting the stage for more advanced topics in subsequent modules.

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