Understand ⏱ 180 min

Data Engineering Course for Beginners

What You Will Learn

Understand the importance of data engineering and its role in making data-driven decisions
Learn the basics of Docker and how to use it for containerizing applications
Understand how to create and manage containers, networks, and volumes in Docker

Key Concepts

Data engineering is a crucial role in any company that involves processing and extracting value from data. Docker is an open-source platform that simplifies the process of building, shipping, and running applications inside containers. A container is a lightweight, portable, and self-sufficient environment that packages an application along with its dependencies, libraries, and configurations. Docker files are used to create Docker images, which are then used to create containers. Volumes are used to persist data in containers, and networks are used to enable communication between containers.

Code Examples

FROM node:18
WORKDIR /app
COPY . .
RUN yarn install
RUN yarn run dev

This Docker file creates a Docker image for a Node.js application, copies the application code into the container, installs dependencies, and runs the application.

docker run -d -p 3000:3000 getting-started

This command runs a Docker container from the getting-started image and maps port 3000 on the host machine to port 3000 in the container.

Lesson Summary

In this lesson, we introduced the concept of data engineering and its importance in making data-driven decisions. We also learned the basics of Docker, including how to create and manage containers, networks, and volumes. Docker is a powerful tool that allows developers to package applications and their dependencies into a single container, making it easy to deploy and manage applications. We also learned how to create a Docker file, build a Docker image, and run a Docker container. Additionally, we learned how to persist data in containers using volumes and how to enable communication between containers using networks.

Practice Exercise

Create a simple web application using Node.js and containerize it using Docker. Create a Docker file that installs dependencies, copies the application code, and runs the application. Build a Docker image from the Docker file and run a Docker container from the image. Use the Docker container to access your web application.

What Is Next

In the next lesson, we will learn about data pipeline building with Airflow and how to engage in batch processing with Spark and streaming data with Kafka. We will also learn how to create a comprehensive project that puts our skills to the test in creating a full end-to-end pipeline.

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