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Book Description

Data is everywhere, but turning it into something meaningful? That takes skill. Fundamentals of Data Engineering by Joe Reis & Matt Housley is your roadmap to mastering the art and science of building robust data systems. The book starts with the basicswhat is data engineering anyway?and quickly moves into practical territory, covering the full lifecycle from generation to storage, ingestion, transformation, and serving.

You’ll get a deep dive into modern architectures like data lakes, warehouses, mesh, and more. The authors break down complex topics into bite-sized lessons that are easy to follow. Real-world scenarios show you how companies handle their ever-growing mountains of information. If you want to be the person who makes sense of all that chaos (and maybe even look cool doing it), this book is for you.

This guide is perfect for aspiring and current data engineers, software developers branching into data roles, IT managers who need to speak the language of data teams, and curious business analysts eager to understand how their numbers get crunched.

What You Will Learn

• The core principles and lifecycle of data engineering
• How to design scalable and secure data architectures
• Choosing technologies across cloud, on-premises, and hybrid environments
• The differences between monolithic and modular systems
• Best practices for data storage: files, databases, lakes, warehouses
• How ingestion worksincluding APIs, logs, and message queues
• Modern trends like serverless computing and event-driven architecture
• Key skills every data engineer needs: orchestration, security, FinOps
• The roles of DataOps and software engineering in the data pipeline
• Tips for evaluating new tools in a fast-changing landscape

The book also explores practical details about working with distributed systems and optimizing costsa must in today’s cloud-first world. If you’re interested in going deeper on extracting or visualizing complex datasets, check out our resource on interactive visual analysis of NoSQL databases. For those building foundational programming skills alongside your data journey, our guide on C++ programming fundamentals is a great companion read.

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