--- product_id: 447196017 title: "Fundamentals of Data Engineering: Plan and Build Robust Data Systems" price: "£52.20" currency: GBP in_stock: true reviews_count: 13 url: https://www.desertcart.co.uk/products/447196017-fundamentals-of-data-engineering-plan-and-build-robust-data-systems store_origin: GB region: United Kingdom --- # Fundamentals of Data Engineering: Plan and Build Robust Data Systems **Price:** £52.20 **Availability:** ✅ In Stock ## Quick Answers - **What is this?** Fundamentals of Data Engineering: Plan and Build Robust Data Systems - **How much does it cost?** £52.20 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.co.uk](https://www.desertcart.co.uk/products/447196017-fundamentals-of-data-engineering-plan-and-build-robust-data-systems) ## Best For - Customers looking for quality international products ## Why This Product - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Description 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 Review: Great book - Great book. Using it on daily basis. Gives you a comprehensive understanding of data Engineering fundamentals. Review: A Great Overview of the Data Analytics Tech Landscape (for the Uninitiated) - This is a great book for anyone who has a solid understanding of software development and cloud architecture, but doesn't have direct experience building data pipelines or data analytics products. The authors don't get into much technical detail at a tactical level - this is not a book about actually implementing anything whatsoever. Rather, this book offers a really excellent 10,000 foot view of the current state of Data Engineering from multiple angles. Throughout the book they spend a lot of time explaining the "people" side of things (what developers and teams actually do when building Data Eng teams, analytics pipelines, etc.) and how they interact with various other teams and stakeholders (data scientists, analysts, PMs, execs,...). They also cover a vast amount of ground on the architectural side of things. As a developer with years of tech experience, but one which has never directly worked on data pipelines, I really enjoyed how they offered both numerous examples and stories of how projects were built and operated in the _ancient_ "big data" Hadoop era (i.e. 2010-2020, LOL!), and then how quickly the tech and related architectures have changed as significant new technologies came to the fore (i.e. Kafka, BigQuery/Athena, Snowflake/Databricks, etc...). My 2 constructive criticisms of this book are: 1) Some will be frustrated by the lack of tactical content or technical depth. That said, what they sacrifice in depth they make up for in scope. The data analytics space is vast, and evolving at a breakneck pace. They do an admirable job of introducing and summarizing a vast topic, all grounded in practical advice and real-world anecdotes and examples (from their own professional experience). 2) They have 1 surprising blind spot, imho – which is that they don't even offer a passing nod to Domain Driven Design (DDD). Given that they do discuss topics including microservices, data models, schemas, and some aspects of "domains" in the enterprise sense, as well as the need to interact with stakeholders and experts from various other teams (aka "domain experts"), this strikes me as a surprising blind spot. I'd like to see them explore DDD in a future 2nd edition (please!). Final word – If you're an experienced developer or architect with big data or analytics experience, this book may leave you wanting. For anyone else with a solid technical foundation and an interest in the data realm from almost any angle, this is a great read that's well worth your time. ## Technical Specifications | Specification | Value | |---------------|-------| | Best Sellers Rank | 10,975 in Books ( See Top 100 in Books ) 2 in Data Mining (Books) 2 in Database Applications 3 in Beginner's Guide to Databases | | Customer Reviews | 4.6 out of 5 stars 694 Reviews | ## 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 ### ⭐⭐⭐⭐⭐ Great book *by A***V on 28 February 2026* Great book. Using it on daily basis. Gives you a comprehensive understanding of data Engineering fundamentals. ### ⭐⭐⭐⭐⭐ A Great Overview of the Data Analytics Tech Landscape (for the Uninitiated) *by J***Y on 25 January 2025* This is a great book for anyone who has a solid understanding of software development and cloud architecture, but doesn't have direct experience building data pipelines or data analytics products. The authors don't get into much technical detail at a tactical level - this is not a book about actually implementing anything whatsoever. Rather, this book offers a really excellent 10,000 foot view of the current state of Data Engineering from multiple angles. Throughout the book they spend a lot of time explaining the "people" side of things (what developers and teams actually do when building Data Eng teams, analytics pipelines, etc.) and how they interact with various other teams and stakeholders (data scientists, analysts, PMs, execs,...). They also cover a vast amount of ground on the architectural side of things. As a developer with years of tech experience, but one which has never directly worked on data pipelines, I really enjoyed how they offered both numerous examples and stories of how projects were built and operated in the _ancient_ "big data" Hadoop era (i.e. 2010-2020, LOL!), and then how quickly the tech and related architectures have changed as significant new technologies came to the fore (i.e. Kafka, BigQuery/Athena, Snowflake/Databricks, etc...). My 2 constructive criticisms of this book are: 1) Some will be frustrated by the lack of tactical content or technical depth. That said, what they sacrifice in depth they make up for in scope. The data analytics space is vast, and evolving at a breakneck pace. They do an admirable job of introducing and summarizing a vast topic, all grounded in practical advice and real-world anecdotes and examples (from their own professional experience). 2) They have 1 surprising blind spot, imho – which is that they don't even offer a passing nod to Domain Driven Design (DDD). Given that they do discuss topics including microservices, data models, schemas, and some aspects of "domains" in the enterprise sense, as well as the need to interact with stakeholders and experts from various other teams (aka "domain experts"), this strikes me as a surprising blind spot. I'd like to see them explore DDD in a future 2nd edition (please!). Final word – If you're an experienced developer or architect with big data or analytics experience, this book may leave you wanting. For anyone else with a solid technical foundation and an interest in the data realm from almost any angle, this is a great read that's well worth your time. ### ⭐⭐⭐⭐⭐ All good *by A***K on 18 March 2026* Great condition, arrived on time ## 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 --- ## Why Shop on Desertcart? - 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016 - 🌍 **Shop Globally** — Access 737+ million products across 21 categories - 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price - 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members) - 🔒 **Secure Payments** — Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.co.uk/products/447196017-fundamentals-of-data-engineering-plan-and-build-robust-data-systems](https://www.desertcart.co.uk/products/447196017-fundamentals-of-data-engineering-plan-and-build-robust-data-systems) --- *Product available on Desertcart United Kingdom* *Store origin: GB* *Last updated: 2026-05-21*