Data engineering is the process of designing, building, and maintaining systems that collect, store, and process data. Data engineers are responsible for ensuring that data is available, accurate, and timely. They work with data scientists, data analysts, and software engineers to design and build data pipelines, data warehouses, and data lakes.
Here are 5 free resources to learn data engineering:
1️⃣ The Data Engineering Cookbook
📌 This repo aims to be a starting point for those who want to become data engineers.
✨ Star: 10.8k
🔗 https://github.com/oleg-agapov/data-engineering-book
2️⃣ Data Engineering Zoomcamp
📌 This repository helps you learn data engineering step by step with slides and videos.
✨ Star: 6k
🔗 https://github.com/DataTalksClub/data-engineering-zoomcamp
3️⃣ Awesome Data Engineering
📌 Bu depo, yazılım geliştiriciler için küratörlüğünde bir veri mühendisliği araçları listesi sağlar.
✨ Star: 4.5k
🔗 https://github.com/igorbarinov/awesome-data-engineering
4️⃣ Udacity Data Engineering Projects
📌 This repo includes data engineering projects.
✨ Star: 851
🔗 https://github.com/san089/Udacity-Data-Engineering-Projects
5️⃣ Data Engineering Practice
📌 The aim of this repository is to help you develop and learn data engineering skills.
✨ Star: 651
🔗 https://github.com/danielbeach/data-engineering-practice
📌 Thanks for reading 😀
📌 Follow me @TirendazAcademy 😊
✨7 best computer vision projects 👇
🔗 https://tirendazacademy.blogspot.com/2022/09/7-best-computer-vision-projects-with.html