Introduction to Data Engineering: Learn the skills needed to break into Data Engineering

With the rise of Data Science and Machine Learning, Data Engineering is quickly becoming an in-demand skill. Data Engineering requires a unique skill set that is hard to learn without experience. I will teach you how to write scalable data pipelines and more!

• Introduction
• Chapter 1 – The Theory
• Chapter 2 – Data Pipeline Basics
• Chapter 3 – Pipeline Architecture
• Chapter 4 – Storage
• Chapter 5 – Compute and Resources
• Chapter 6 – Mastering SQ
• Chapter 7 – Data Warehousing / Data Lakes
• Chapter 8 – Data Modeling
• Chapter 9 – Data Quality
• Chapter 10 – DevOps for Data Engineers

You can read the Introduction for free here. https://www.confessionsofadataguy.com/introduction-to-data-engineering-ebook/