Conquering Big Data with High Performance Computing
暫譯: 以高效能運算征服大數據
- 出版商: Springer
- 出版日期: 2016-09-26
- 售價: $7,920
- 貴賓價: 9.5 折 $7,524
- 語言: 英文
- 頁數: 329
- 裝訂: Hardcover
- ISBN: 3319337408
- ISBN-13: 9783319337401
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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 an overview of the resources and research projects that are bringing Big Data and High Performance Computing (HPC) on converging tracks. It demystifies Big Data and HPC for the reader by covering the primary resources, middleware, applications, and tools that enable the usage of HPC platforms for Big Data management and processing.
Through interesting use-cases from traditional and non-traditional HPC domains, the book highlights the most critical challenges related to Big Data processing and management, and shows ways to mitigate them using HPC resources. Unlike most books on Big Data, it covers a variety of alternatives to Hadoop, and explains the differences between HPC platforms and Hadoop.
Written by professionals and researchers in a range of departments and fields, this book is designed for anyone studying Big Data and its future directions. Those studying HPC will also find the content valuable.
商品描述(中文翻譯)
本書提供了資源和研究專案的概述,這些專案將大數據(Big Data)和高效能運算(High Performance Computing, HPC)推向融合的軌道。它為讀者揭開了大數據和HPC的神秘面紗,涵蓋了主要資源、中介軟體、應用程式和工具,這些都是使HPC平台能夠用於大數據管理和處理的關鍵。
透過來自傳統和非傳統HPC領域的有趣案例,本書突顯了與大數據處理和管理相關的最重要挑戰,並展示了使用HPC資源來減輕這些挑戰的方法。與大多數關於大數據的書籍不同,本書涵蓋了多種Hadoop的替代方案,並解釋了HPC平台與Hadoop之間的差異。
本書由來自不同部門和領域的專業人士和研究人員撰寫,旨在為任何研究大數據及其未來方向的人士提供參考。對於研究HPC的人士來說,這些內容也將具有價值。