Big Data 2.0 Processing Systems: A Survey (SpringerBriefs in Computer Science)
暫譯: 大數據 2.0 處理系統:調查(SpringerBriefs in Computer Science)
Sherif Sakr
- 出版商: Springer
- 出版日期: 2016-07-14
- 售價: $2,830
- 貴賓價: 9.5 折 $2,689
- 語言: 英文
- 頁數: 102
- 裝訂: Paperback
- ISBN: 3319387758
- ISBN-13: 9783319387758
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相關分類:
大數據 Big-data、Computer-Science
海外代購書籍(需單獨結帳)
商品描述
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. Chapter 4 discusses several systems that have been designed to tackle the problem of large-scale graph processing, while the main focus of Chapter 5 is on several systems that have been designed to provide scalable solutions for processing big data streams, and on other sets of systems that have been introduced to support the development of data pipelines between various types of big data processing jobs and systems. Lastly, Chapter 6 shares conclusions and an outlook on future research challenges.
Overall, the book offers a valuable reference guide for students, researchers and professionals in the domain of big data processing systems. Further, its comprehensive content will hopefully encourage readers to pursue further research on the subject.
商品描述(中文翻譯)
這本書為讀者提供了大數據處理系統領域的「全貌」和全面調查。在過去十年中,Hadoop 框架主導了大數據處理的世界,但最近學術界和業界開始認識到它在多個應用領域和大數據處理場景中的局限性,例如結構化數據、大規模圖數據和流數據的處理。因此,它現在逐漸被一系列專門針對特定垂直領域(例如結構化數據、圖數據和流數據)的引擎所取代。本書探討了這一新一波系統,稱之為大數據 2.0 處理系統。
在第一章介紹大數據現象的一般背景後,第二章提供了各種通用大數據處理系統的概述,這些系統允許用戶為不同的應用領域開發各種大數據處理作業。接著,第三章檢視了各種系統,這些系統被引入以支持在 Hadoop 基礎架構上運行的 SQL 版本,並在處理大規模結構化數據時提供競爭性和可擴展的性能。第四章討論了幾個旨在解決大規模圖處理問題的系統,而第五章的主要重點是幾個旨在提供可擴展解決方案以處理大數據流的系統,以及其他一系列系統,這些系統被引入以支持在各種大數據處理作業和系統之間開發數據管道。最後,第六章分享了結論和對未來研究挑戰的展望。
總體而言,這本書為大數據處理系統領域的學生、研究人員和專業人士提供了寶貴的參考指南。此外,其全面的內容希望能鼓勵讀者進一步研究該主題。