Data Engineering for Beginners

£47.50

Data Engineering for Beginners

Computer networking and communications

Author: Chisom Nwokwu

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Language: English

Published by: Wiley

Published on: 21st October 2025

Format: LCP-protected ePub

ISBN: 9781394325429


Overview

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.

What the Book Explains

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

Why Read This Book

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

Who It's For

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.

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