SKU/Artículo: AMZ-B0GHHDVV2Z
Cloud-Scale Systems: Data Ingestion, Events, and Storage
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Paperback
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En stock
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0.33 kg
0.33 kg
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Amazon
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USA
USA
Sobre este producto
- This book is published by:EminsphereAbout the Authors:Dr. Jambi Ratna Raja Kumar is the Principal of Genba Sopanrao Moze College of Engineering, Pune, Maharashtra, serving since July 2011. He is a distinguished academic and researcher in Computer Engineering with over 74 publications in areas such as machine learning, cybersecurity, blockchain, and renewable energy systems, many indexed in Scopus and Elsevier. His work focuses on integrating emerging technologies into education, promoting interdisciplinary research, and encouraging sustainable and ethical engineering practices.Mr. Rajaguru Ganesan is a distinguished Technical Architect and Engineering Leader, currently serving as Director of Engineering, with more than 21 years of experience in product design and development. He specializes in system modernization, particularly transforming complex monolithic systems into agile microservices architectures, and has worked across critical sectors including healthcare, hospitality, and network management. His expertise spans cloud platforms, big data, and Java frameworks, combining enterprise-scale rigor with startup agility.Mr. Amber Rastogi is a Principal Software Engineer at Oracle, working on highly reliable distributed systems and cloud-scale storage platforms. He has achieved reliability guarantees of up to eleven nines and has previously contributed to mission-critical systems at Meta (AI Systems), Microsoft Azure, and Amazon. His core strengths include distributed systems, cloud infrastructure, fault tolerance, and storage reliability. The book offers a comprehensive and structured exploration of cloud-scale and distributed systems, progressing from foundational concepts to advanced, future-focused topics. Beginning with an introduction to cloud-scale systems and distributed systems foundations, it systematically covers cloud infrastructure, data ingestion pipelines, event-driven and stream processing architectures, and cloud-scale storage systems. The later chapters address critical aspects such as data management and governance, security, reliability, and observability, before concluding with emerging trends and future directions. Designed for students, researchers, and industry professionals alike, this book serves as both a strong conceptual guide and a practical reference for understanding, designing, and operating modern cloud-scale systems in real-world environments.
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