Big Data Management and Processing

Sommario

Big Data Management. Big Data Design, implementation, evaluation and services. Big Data as integration of technologies. Big Data analytics and visualization. Query processing and indexing. Elasticity for data management systems. Self-adaptive and energy-efficient mechanisms. Performance evaluation. Security, privacy, trust, data ownership and risk simulations. Processing. Techniques, algorithms and innovative methods of processing. Business and economic models. Adoption cases, frameworks and user evaluations. Data-intensive and scalable computing on hybrid infrastructures. MapReduce based computations. Many-Task Computing in the Cloud. Streaming and real-time processing. Big Data systems and applications for multidisciplinary applications.

Info autore

Kuan-Ching Li, Hai Jiang, Albert Y. Zomaya

Riassunto

This book aims to bridge the gap between large amounts of data and appropriate computational and management methods for scientific discovery. It explores technologies for media/data communication, elastic media/data storage, and cross-network media/data fusion.

Dettagli sul prodotto

• Autori: Gua, Kuan-Ching (Providence University Li, Kuan-Ching (Providence University Taiwan) Jian Li, Kuan-Ching Jiang Li
• Con la collaborazione di: Hai Jiang (Editore), Hai (Arkansas State University Jiang (Editore), Jiang Hai (Editore), Kuan-Ching Li (Editore), Kuan-Ching (Providence University Li (Editore), Li Kuan-Ching (Editore), Albert Y. Zomaya (Editore), Albert Y. (University of Sydney Zomaya (Editore), Zomaya Albert Y. (Editore)
• Editore: Taylor & Francis Ltd.
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 30.06.2017
• EAN: 9781498768078
• ISBN: 978-1-4987-6807-8
• Pagine: 469
• Serie: Chapman & Hall/CRC Big Data Series; Chapman & Hall/CRC Big Data Series
• Categorie: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica; machine learning, Data Mining, BUSINESS & ECONOMICS / Statistics, COMPUTERS / Programming / Games, COMPUTERS / Machine Theory, Mathematical theory of computation, Databases, COMPUTERS / Data Science / Data Analytics, Econometrics and economic statistics, Databases / Data management