---
product_id: 455144431
title: "Fundamentals of Data Engineering: Plan and Build Robust Data Systems"
price: "AR$170531"
currency: ARS
in_stock: true
reviews_count: 13
url: https://www.desertcart.com.ar/products/455144431-fundamentals-of-data-engineering-plan-and-build-robust-data-systems
store_origin: AR
region: Argentina
---

# Fundamentals of Data Engineering: Plan and Build Robust Data Systems

**Price:** AR$170531
**Availability:** ✅ In Stock

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- **What is this?** Fundamentals of Data Engineering: Plan and Build Robust Data Systems
- **How much does it cost?** AR$170531 with free shipping
- **Is it available?** Yes, in stock and ready to ship
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## Description

desertcart.com: Fundamentals of Data Engineering: Plan and Build Robust Data Systems: 9781098108304: Reis, Joe, Housley, Matt: Books

Review: Excellent beginner’s data engineering book - Excellent beginner’s data engineering book—clear, practical, and well-structured. Covers core concepts, tools, and workflows to build real-world pipelines confidently.
Review: Must read for anyone in data - I finished reading “Fundamentals of Data Engineering” by Joe Reis and Matt Houser. The book is wonderful and a must read for any data professional. My favorite part is that the book is tool-agnostic. While there are many books that teach data engineering in one specific tool or language, Fundamentals of Data Engineering succeeds in explaining data engineering concepts without being attached to a tool. What also caught my attention is that this book is very well designed for a broad audience. There is value for anyone who is either a seasoned professional, or someone who is relatively new to the field (like me). This field is constantly evolving in a very fast pace, and I can see how Fundamentals of Data Engineering is one of the books that will stand the test of time. I highly recommend it to anyone in the data industry.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #22,107 in Books ( See Top 100 in Books ) #2 in Cloud Computing (Books) #3 in Data Modeling & Design (Books) #4 in Data Processing |
| Customer Reviews | 4.7 4.7 out of 5 stars (834) |
| Dimensions  | 7 x 1 x 9.25 inches |
| Edition  | 1st |
| ISBN-10  | 1098108302 |
| ISBN-13  | 978-1098108304 |
| Item Weight  | 2.31 pounds |
| Language  | English |
| Print length  | 447 pages |
| Publication date  | July 26, 2022 |
| Publisher  | O'Reilly Media |

## Images

![Fundamentals of Data Engineering: Plan and Build Robust Data Systems - Image 1](https://m.media-amazon.com/images/I/81+oMD7Lm7L.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Excellent beginner’s data engineering book
*by C***N on June 8, 2025*

Excellent beginner’s data engineering book—clear, practical, and well-structured. Covers core concepts, tools, and workflows to build real-world pipelines confidently.

### ⭐⭐⭐⭐⭐ Must read for anyone in data
*by A***R on February 27, 2025*

I finished reading “Fundamentals of Data Engineering” by Joe Reis and Matt Houser. The book is wonderful and a must read for any data professional. My favorite part is that the book is tool-agnostic. While there are many books that teach data engineering in one specific tool or language, Fundamentals of Data Engineering succeeds in explaining data engineering concepts without being attached to a tool. What also caught my attention is that this book is very well designed for a broad audience. There is value for anyone who is either a seasoned professional, or someone who is relatively new to the field (like me). This field is constantly evolving in a very fast pace, and I can see how Fundamentals of Data Engineering is one of the books that will stand the test of time. I highly recommend it to anyone in the data industry.

### ⭐⭐⭐⭐⭐ Good book on Data engineering!
*by G***E on May 6, 2025*

Good book on Data engineering! Highly recommend. Good overview / summary for hands-on practitioners and managers on what data engineering is and different phases it goes through.

## Frequently Bought Together

- Fundamentals of Data Engineering: Plan and Build Robust Data Systems
- Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
- Data Pipelines Pocket Reference: Moving and Processing Data for Analytics

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*Product available on Desertcart Argentina*
*Store origin: AR*
*Last updated: 2026-03-15*