Introduction to Data Engineering (Daniel Beach).pdf

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