Big Data 2.0 Processing Systems: A Systems Overview
暫譯: 大數據 2.0 處理系統：系統概述
Sakr, Sherif
- 出版商: Springer
- 出版日期: 2020-07-10
- 售價: $3,370
- 貴賓價: 9.5 折 $3,202
- 語言: 英文
- 頁數: 145
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3030441865
- ISBN-13: 9783030441869
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相關分類:
大數據 Big-data
海外代購書籍(需單獨結帳)
相關主題
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 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. Next, Chapter 6 focuses on covering the emerging frameworks and systems in the domain of scalable machine learning and deep learning processing. Lastly, Chapter 7 shares conclusions and an outlook on future research challenges. This new and considerably enlarged second edition not only contains the completely new chapter 6, but also offers a refreshed content for the state-of-the-art in all domains of big data processing over the last years.
Overall, the book offers a valuable reference guide for professional, students, and researchers 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幾個應用領域的局限性，因此，它現在逐漸被一系列專門針對特定垂直領域的引擎所取代（例如結構化數據、圖形數據和流數據）。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形處理問題的系統，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。接下來，第六章專注於涵蓋可擴展機器學習和深度學習處理領域的新興框架和系統。最後，第七章分享結論和對未來研究挑戰的展望。這一全新且大幅擴充的第二版不僅包含了全新的第六章，還提供了過去幾年大數據處理各領域的最新內容。
總體而言，這本書為專業人士、學生和大數據處理系統領域的研究人員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。
作者簡介
Sherif Sakr is the Head of Data Systems Group at the Institute of Computer Science, University of Tartu, Estonia. His research interest is data and information management in general, particularly in big data processing systems, big data analytics, data science and big data management in cloud computing platforms. He has published more than 150 refereed research publications in international journals and conferences. Sherif is an ACM Senior Member and an IEEE Senior Member, and in 2017, he has been appointed to serve as an ACM Distinguished Speaker and as an IEEE Distinguished Speaker. In addition, he is serving as the Editor-in-Chief of the Springer Encyclopedia of Big Data Technologies, and is also serving as a Co-Chair for the European Big Data Value Association (BDVA) TF6-Data Technology Architectures Group. In 2019, he received the best Arab scholar award from the Abdul Hammed Shoman Foundation.
作者簡介(中文翻譯)
Sherif Sakr 是愛沙尼亞塔爾圖大學計算機科學研究所數據系統組的負責人。他的研究興趣主要集中在數據和信息管理，特別是在大數據處理系統、大數據分析、數據科學以及雲計算平台上的大數據管理。他在國際期刊和會議上發表了超過150篇經過審核的研究論文。Sherif 是 ACM 高級會員和 IEEE 高級會員，並於2017年被任命為 ACM 傑出演講者和 IEEE 傑出演講者。此外，他還擔任 Springer 大數據技術百科全書的主編，並擔任歐洲大數據價值協會 (BDVA) TF6-數據技術架構小組的共同主席。2019年，他獲得了阿卜杜勒·哈米德·肖曼基金會頒發的最佳阿拉伯學者獎。
