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Fundamentals of Data Engineering: Plan and Build Robust Data Systems

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Livraison entre le Samedi 25 juillet 2026 et le Lundi 27 juillet 2026

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Marque : GENERIC
Vendu par HEAVENBOOKS.MA

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the ...

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Description produit

Marque
GENERIC
Titre
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Éditeur
O'Reilly Media
Type de produit
paperback
Présentation du livre
paperback
Date de sortie
7/26/2022 12:00:00 AM
Langue d'origine
English
ISBN
1098108302
Dimensions
7 x 1 x 9.25 inches
Nombre de pages
447 pages
Langue
English
Résumé
Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You'll understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, and governance that are critical in any data environment regardless of the underlying technology.This book will help you:Get a concise overview of the entire data engineering landscapeAssess data engineering problems using an end-to-end framework of best practicesCut through marketing hype when choosing data technologies, architecture, and processesUse the data engineering lifecycle to design and build a robust architectureIncorporate data governance and security across the data engineering lifecycle Read more
Auteur
Joe Reis, Matt Housley
Date de parution
7/26/2022 12:00:00 AM