书目名称 | Handbook of Big Data Technologies |
编辑 | Albert Y. Zomaya,Sherif Sakr |
视频video | |
概述 | Provides essential reader insight into the vast potential power and value of Big Data resources.Offers the reader a comprehensive examination of Big Data technologies.Inspects both theoretical and pra |
图书封面 |  |
描述 | This handbook offers comprehensive coverage of recent advancements in Big Data technologies and related paradigms. Chapters are authored by international leading experts in the field, and have been reviewed and revised for maximum reader value. The volume consists of twenty-five chapters organized into four main parts. Part one covers the fundamental concepts of Big Data technologies including data curation mechanisms, data models, storage models, programming models and programming platforms. It also dives into the details of implementing Big SQL query engines and big stream processing systems. Part Two focuses on the semantic aspects of Big Data management including data integration and exploratory ad hoc analysis in addition to structured querying and pattern matching techniques. Part Three presents a comprehensive overview of large scale graph processing. It covers the most recent research in large scale graph processing platforms, introducing several scalablegraph querying and mining mechanisms in domains such as social networks. Part Four details novel applications that have been made possible by the rapid emergence of Big Data technologies such as Internet-of-Things (IOT) |
出版日期 | Book 2017 |
关键词 | Big Data; MapReduce; Hadoop; Spark; Big graph analytics; Data analytics; Big SQL; Big Data applications; Gir |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-319-49340-4 |
isbn_softcover | 978-3-319-84138-0 |
isbn_ebook | 978-3-319-49340-4 |
copyright | Springer International Publishing AG 2017 |