Decoding Big Data

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Decoding Big Data

Big Data: how business uses information about us Gold mine or minefield? An unprecedented surge of data creates new opportunities for companies and changes the way they do business. This ebook explains what "big data" is, the uses to which business puts this information, and the rewards and risks it holds for society and business in future. Based on a series of articles published by the Financial Times, a leading global business newspaper and website, the ebook also picks apart some of the larger claims made for big data, one of the most over-used buzzwords in the boardroom today.
Big Data

Although there are already some books published on Big Data, most of them only cover basic concepts and society impacts and ignore the internal implementation details-making them unsuitable to R&D people. To fill such a need, Big Data: Storage, Sharing, and Security examines Big Data management from an R&D perspective. It covers the 3S desi
Big Data Analytics for Sustainable Computing

Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore, to obtain the valuable information within the data, one must use a variety of innovative analytical methods, such as web analytics, machine learning, and network analytics. As the study of big data becomes more popular, there is an urgent demand for studies on high-level computational intelligence and computing services for analyzing this significant area of information science. Big Data Analytics for Sustainable Computing is a collection of innovative research that focuses on new computing and system development issues in emerging sustainable applications. Featuring coverage on a wide range of topics such as data filtering, knowledge engineering, and cognitive analytics, this publication is ideally designed for data scientists, IT specialists, computer science practitioners, computer engineers, academicians, professionals, and students seeking current research on emerging analytical techniques and data processing software.