Fundamentals of Data Engineering

Plan and Build Robust Data Systems

De: Joe Reis, Matt Housley

Narrado por: Adam Verner

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.

Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You'll understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, and governance that are critical in any data environment regardless of the underlying technology.

This book will help you: get a concise overview of the entire data engineering landscape; assess data engineering problems using an end-to-end framework of best practices; cut through marketing hype when choosing data technologies, architecture, and processes; use the data engineering lifecycle to design and build a robust architecture; and incorporate data governance and security across the data engineering lifecycle.

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2022 Joseph Reis and Matthew Housley (P)2023 Ascent Audio

Strong content undermined by poor navigation

This audiobook contains valuable, high-level insights with enough detail to be practically useful. However, the production/packaging undermines accessibility.
In the Audible app the chapter labels are generic (e.g., “Chapter 1,” “Chapter 2”), and those chapter numbers do not correlate with the narrator’s sections — meaning you can’t reliably skip to topics.
The included PDF supplement isn’t organized into clear sections, so finding specific points requires excessive scrolling. If the publisher could match chapter markers to narration and add descriptive chapter titles (and tidy up the PDF with a clickable table of contents), this would be far more user-friendly and worth a stronger recommendation.

Great for Hands on Business owners

While technical and exact. The book focuses on fundamentals, therefore usable even for non-computer programmers.

Great overview

Great overview of Data Engineering, as long as you are familiar with data concepts, this will be much
easier to understand.

The original book was quite well converted to audio form.

Please fix the chapter names, since they currently don't correspond to chapter names in the printed book.

technical yet consumable data engineering introduction

Well written and organized; excellent technical reference with current technology stack frameworks used. I would highly recommend this to anyone who is already in IT and interested to learnore about this specialization.