Titlebook: Big Data 2.0 Processing Systems; A Survey Sherif Sakr Book 20161st edition The Author(s) 2016 Database Management Systems.Hadoop.Stream Dat

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Adeola Olowu,Nicole R. Gonzalesng, data storage, and computation systems. In practice, data generation and consumption are becoming a main part of people’s daily life especially with the pervasive availability and usage of Internet technology and applications (Lynch, Nature, 455(7209):28–29, 2008, [1]).

Parallel

Intracerebral Hemorrhage Therapeuticspplications to process vast amounts of data on large clusters of commodity machines (Dean and Ghemawa, OSDI, 2004, [20]). In particular, the implementation described in the original paper is mainly designed to achieve high performance on large clusters of commodity PCs. One of the main advantages of

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F. Borja de Lacy,Antonio M. Lacyrs) or software in the format of flowing streams of data. Examples of this phenomenon are crucial for several applications and domains including financial markets, surveillance systems, manufacturing, smart cities, and scalable monitoring infrastructure.

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Armando Melani,Luis G. Romagnolota are the most valuable asset. Therefore, Big Data analytics currently represents a revolution that cannot be missed. It is significantly transforming and changing various aspects of our modern life including the way we live, socialize, think, work, do business, conduct research, and govern society

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SpringerBriefs in Computer Sciencehttp://image.papertrans.cn/b/image/185581.jpg

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