A first-hand, expert guide to the technical skills and industry insights you need to launch your data engineering career

In Data Engineering for Beginners, big-data expert Chisom Nwokwu delivers a comprehensive, beginner-friendly guide for early-career engineers, analysts, and industry professionals eager to master the fundamentals of data engineering. As AI continues to transform industries, this book clearly shows how data engineering sits at the heart of building intelligent systems. Through real-world scenarios and hands-on insights, you'll gain a head start in a future-proof career built on data.

Nwokwu offers a clear and accessible intro to the core pillars of data engineering, including database fundamentals, data warehouses, data lakes, data pipelines, and the crucial topics of data quality, security, and governance. In addition to easy-to-follow explanations of key technical concepts, she also offers practical insights into data engineering career paths, breaking down the essential skills and tools you'll need to ace an interview and land your first role.

Data Engineering for Beginners is an essential resource for anyone looking to build or expand their technical skillset in data engineering. Whether you're launching a new career as a data engineer, data analyst, or data scientist, or you're a marketing specialist, financial analyst, or AI practitioner. This book serves as a practical and accessible starting point. It's not just for tech professionals; it's a valuable tool for anyone working with data or aiming to contribute to modern, data-driven systems.

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

Perfect for practicing and aspiring data analysts, data scientists, and data engineers, Data Engineering for Beginners is an effective and reliable starting point for learning an in-demand skill. It's a powerful resource for everyone hoping to expand their data engineering Skillset and upskill in the big data era.