Название: Data Engineering for BeginnersАвтор: Chisom Nwokwu
Издательство: Wiley
Год: 2026
Страниц: 384
Язык: английский
Формат: PDF, True/Retail EPUB
Размер: 12.3 MB
A hands-on technical and industry roadmap for aspiring data engineers
In Data Engineering for Beginners, big data expert Chisom Nwokwu delivers a beginner-friendly handbook for everyone interested in the fundamentals of data engineering. Whether you're interested in starting a rewarding, new career as a data analyst, data engineer, or data scientist, or seeking to expand your skillset in an existing engineering role, Nwokwu offers the technical and industry knowledge you need to succeed.
The book explains:
• Database fundamentals, including relational and noSQL databases
• Data warehouses and data lakes
• Data pipelines, including info about batch and stream processing
• Data quality dimensions
• Data security principles, including data encryption
• Data governance principles and data framework
• Big data and distributed systems concepts
• Data engineering on the cloud
• Essential skills and tools for data engineering interviews and jobs
Data Engineering for Beginners offers an easy-to-read roadmap on a seemingly complicated and intimidating subject. It addresses the topics most likely to cause a beginning data engineer to stumble, clearly explaining key concepts in an accessible way. You'll also find:
• A comprehensive glossary of data engineering terms
• Common and practical career paths in the data engineering industry
• An introduction to key cloud technologies and services you may encounter early in your data engineering career
In this lab, you will build an ETL (extract, transform, load) pipeline to process customer data from a bakery. The pipeline will extract raw data, apply necessary transformations, and load the processed data into a PostgreSQL database using Python. Additionally, you will automate the ETL process by integrating it with Apache Airflow, a widely used orchestration framework.
Who Should Read This Book?
This book is for curious beginners, anyone starting their career or pivoting into data engineering. This book was written specifically for you; it’s a roadmap that gives you a solid starting point. It breaks down data engineering concepts with clear explanations and practical examples, giving you a strong foundation. I remember how intimidating it was when I first started, and I wanted to create something that feels like a friendly guide, not a textbook.
This book is also for software engineers, data analysts and scientists, and AI engineers in the room who keep hearing about data engineering at work but aren’t quite sure what it entails. Maybe you’re already writing SQL or deploying models but you don’t understand how the data gets cleaned, transformed, and served to you. This book shows you what’s happening behind the scenes, so you can speak the language, contribute more effectively to cross-functional teams, and create more impact in your role.
Then there are the career switchers, people who are trying to find their footing in tech. Data engineering is one of the most practical, foundational paths in the data world, and this book is your first step into the world of data, with no prior knowledge required.
Data Engineering for Beginners is both a learning tool and a reference that I hope you’ll come back to again and again. It contains real-world examples, interview tips, and scenarios that reflect the day-to-day life of a data engineer, preparing you to thrive in your first role and throughout your data engineering career. It’s written as a roadmap, so you can read each chapter sequentially or skip ahead if you’re already conversant with those concepts. The labs are available to help you put your knowledge into practice.
Congratulations on taking your first step into data engineering, but it doesn’t end here. Keep learning, growing, and building!
Contents:
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