Strategic Engineering for Cloud Computing and Big Data Analytics
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Beschreibung
This book demonstrates the use of a wide range of strategic engineering concepts, theories and applied case studies to improve the safety, security and sustainability of complex and large-scale engineering and computer systems. It first details the concepts of system design, life cycle, impact assessment and security to show how these ideas can be brought to bear on the modeling, analysis and design of information systems with a focused view on cloud-computing systems and big data analytics. This informative book is a valuable resource for graduate students, researchers and industry-based practitioners working in engineering, information and business systems as well as strategy.
This book demonstrates the use of a wide range of strategic engineering concepts, theories and applied case studies to improve the safety, security and sustainability of complex and large-scale engineering and computer systems. It first details the concepts of system design, life cycle, impact assessment and security to show how these ideas can be brought to bear on the modeling, analysis and design of information systems with a focused view on cloud-computing systems and big data analytics. This informative book is a valuable resource for graduate students, researchers and industry-based practitioners working in engineering, information and business systems as well as strategy.
Details the fundamental concepts of strategic engineering Uses wide range of case studies to show how theories and techniques can be applied Focuses on how ideas of strategic engineering can be used to take maximum advantage of cloud computing and big data analysis to develop advanced business models Includes supplementary material: sn.pub/extras
Autor*in
Amin Hosseinian-Far
Themen in »Strategic Engineering for Cloud Computing and Big Data Analytics«
Systems Lifecycles Systems Sustainability Complex Systems Systems Analysis and Design for Cloud Computing Cloud Services for Business Modelling Strategic Engineering for Big Data quality control, reliability, safety and risk