Data Engineering for Beginners
Book Details
Format
Paperback / Softback
Book Series
Tech Today
ISBN-10
139432541X
ISBN-13
9781394325412
Publisher
John Wiley & Sons Inc
Imprint
John Wiley & Sons Inc
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Dec 30th, 2025
Print length
304 Pages
Product Classification:
Computer networking & communications
Ksh 8,550.00
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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 databasesData warehouses and data lakesData pipelines, including info about batch and stream processingData quality dimensionsData security principles, including data encryptionData governance principles and data frameworkBig data and distributed systems conceptsData engineering on the cloudEssential 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 termsCommon and practical career paths in the data engineering industryAn 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.
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