| 期刊全稱 | Big Data 2.0 Processing Systems | | 期刊簡(jiǎn)稱 | A Survey | | 影響因子2023 | Sherif Sakr | | 視頻video | http://file.papertrans.cn/186/185581/185581.mp4 | | 發(fā)行地址 | Provides readers the “big picture” and a comprehensive survey of the domain of big data processing systems and discusses various aspects of research and development.Describes an entire range of engine | | 學(xué)科分類 | SpringerBriefs in Computer Science | | 圖書(shū)封面 |  | | 影響因子 | .This book provides readers the “big picture” and a comprehensive survey of the domain of big data processing systems. For the past decade, the Hadoop framework has dominated the world of big data processing, yet recently academia and industry have started to recognize its limitations in several application domains and big data processing scenarios such as the large-scale processing of structured data, graph data and streaming data. Thus, it is now gradually being replaced by a collection of engines that are dedicated to specific verticals (e.g. structured data, graph data, and streaming data). The book explores this new wave of systems, which it refers to as Big Data 2.0 processing systems...After Chapter 1 presents the general background of the big data phenomena, Chapter 2 provides an overview of various general-purpose big data processing systems that allow their users to develop various big data processing jobs for different application domains. In turn, Chapter 3 examines various systems that have been introduced to support the SQL flavor on top of the Hadoop infrastructure and provide competing and scalable performance in the processing of large-scale structured data. Chapte | | Pindex | Book 20161st edition |
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