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

by Daniel Beach

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!IntroductionChapter 1 - The TheoryChapter 2 - Data Pipeline BasicsChapter 3 - Pipeline ArchitectureChapter 4 - StorageChapter 5 - Compute and ResourcesChapter 6 - Mastering SQChapter 7 - Data Warehousing / Data LakesChapter 8 - Data ModelingChapter 9 - Data QualityChapter 10 - DevOps for Data EngineersYou can read the Introduction for free here.

295 pages, Kindle Edition

Published January 21, 2022

Reviews

[Suzana · Rating 5 out of 5]

Good for beginners in DE

This book gives a lot of practical and down-to-earth advices for good data engineering. Highly recommended for beginners in this field!