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


If you want to support my blog, then you can buy a premium account through any of my files (i.e. on the download page of my book). In this case, I get a percent of sale and can continue to delight you with new books!