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Data Engineering in the Cloud: Architectures, Pipelines, and Best Practices - Couverture souple

Rahul Abhinav Polaboina

 
9798906960566: Data Engineering in the Cloud: Architectures, Pipelines, and Best Practices
Couverture souple
ISBN 13 : 9798906960566
Editeur : Notion Press, 2026

Synopsis

Data Engineering in the Cloud: Architectures, Pipelines, and Best Practices is a comprehensive guide to designing, building, and managing modern cloud-based data platforms. Covering the complete data engineering lifecycle, the book explores cloud infrastructure, scalable architectures, distributed processing, data lakes, data warehouses, and lakehouses. Readers will learn how to develop reliable data pipelines, automate workflows, ensure data quality, and optimize performance for large-scale analytical workloads. The book also addresses critical topics such as security, governance, compliance, disaster recovery, and cost optimization, while introducing DataOps, DevOps, MLOps, and Infrastructure as Code (IaC) for efficient data platform management. Looking ahead, it examines AI-driven automation, Generative AI applications, and emerging technologies shaping the future of cloud data engineering. Combining foundational concepts with practical best practices, this book serves as an essential resource for students, researchers, cloud architects, data engineers, and IT professionals seeking to build scalable, secure, and high-performance cloud data solutions.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Notion Press
Date d'édition
2026
Langue
anglais
ISBN 13 
9798906960566
Reliure
Broché
Nombre de pages
236
Coordonnées du fabricant
non disponible
Personne responsable
gpsr@libri.de
gpsr@libri.de

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