书目名称 | Distributed Computing in Big Data Analytics |
副标题 | Concepts, Technologi |
编辑 | Sourav Mazumder,Robin Singh Bhadoria,Ganesh Chandr |
视频video | |
概述 | Addresses key concepts and patterns of distributed computing to provide practitioners with insight while designing big data analytics use cases.Details how different big data technologies leverage tho |
丛书名称 | Scalable Computing and Communications |
图书封面 |  |
描述 | .Big data technologies are used to achieve any type of analytics in a fast and predictable way, thus enabling better human and machine level decision making. Principles of distributed computing are the keys to big data technologies and analytics. The mechanisms related to data storage, data access, data transfer, visualization and predictive modeling using distributed processing in multiple low cost machines are the key considerations that make big data analytics possible within stipulated cost and time practical for consumption by human and machines. However, the current literature available in big data analytics needs a holistic perspective to highlight the relation between big data analytics and distributed processing for ease of understanding and practitioner use..This book fills the literature gap by addressing key aspects of distributed processing in big data analytics. The chapters tackle the essential concepts and patterns of distributed computing widely used in big data analytics. This book discusses also covers the main technologies which support distributed processing. Finally, this book provides insight into applications of big data analytics, highlighting how principle |
出版日期 | Book 2017 |
关键词 | Distributed computing; Cognitive analytics; Internet of things; Social media analytics; Scientific data |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-319-59834-5 |
isbn_softcover | 978-3-319-86713-7 |
isbn_ebook | 978-3-319-59834-5Series ISSN 2520-8632 Series E-ISSN 2364-9496 |
issn_series | 2520-8632 |
copyright | Springer International Publishing AG, part of Springer Nature 2017 |