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【簡體曬書節】 單本79折,5本7折,優惠只到5/31,點擊此處看更多!

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原文書 (10)
商品狀況

可訂購商品 (10)
庫存狀況

無庫存 (10)
商品定價

$800以上 (10)
出版日期

2020~2021 (1)
2018~2019 (1)
2016~2017 (4)
2016年以前 (4)
裝訂方式

平裝 (3)
精裝 (7)
作者

Sherif Sakr (2)
Abdelkader Hameurlain (EDT)/ Josef K?狂 (EDT)/ Roland Wagner (EDT)/ Sherif Sakr (EDT)/ Lizhe Wang (EDT) (1)
Albert Zomaya (EDT)/ Sherif Sakr (EDT) (1)
Liang Zhao/ Sherif Sakr/ Anna Liu/ Athman Bouguettaya (1)
Seyed-mehdi-reza Beheshti/ Boualem Benatallah/ Sherif Sakr/ Daniela Grigori/ Hamid Reza Motahari-nezhad (1)
Sherif Sakr (EDT)/ Eric Pardede (EDT) (1)
Sherif Sakr (EDT)/ Mohamed Gaber (EDT) (1)
Sherif Sakr/ Faisal Moeen Orakzai/ Ibrahim Abdelaziz/ Zuhair Khayyat (1)
Sherif Sakr/ Marcin Wylot/ Raghava Mutharaju/ Danh Le Phuoc/ Irini Fundulaki (1)
出版社/品牌

Springer Verlag (4)
Springer-Verlag New York Inc (3)
PBKIDEAG (1)
Springer Nature (1)
Taylor & Francis (1)

三民網路書店 / 搜尋結果

10筆商品,1/1頁
Big Data 2.0 Processing Systems ― A Survey
90折
作者:Sherif Sakr  出版社:Springer Verlag  出版日:2016/09/05 裝訂:平裝
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 proc
定價:2859 元, 優惠價:9 2573
無庫存,下單後進貨(到貨天數約45天)
Big Data 2.0 Processing Systems: A Systems Overview
作者:Sherif Sakr  出版社:Springer Nature  出版日:2021/07/24 裝訂:平裝
定價:3600 元, 優惠價:1 3600
無庫存,下單後進貨(到貨天數約30-45天)
Handbook of Big Data Technologies
作者:Albert Zomaya (EDT); Sherif Sakr (EDT)  出版社:Springer Verlag  出版日:2017/03/14 裝訂:精裝
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 b
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02-25006600[分機130、131]。
Graph Data Management
作者:Sherif Sakr (EDT); Eric Pardede (EDT)  出版社:PBKIDEAG  出版日:2011/10/30 裝訂:精裝
Computer scientists explains various fundamental challenges of storing and querying graph databases, and survey applications of graph databases in various domains. They begin by defining graph data mo
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02-25006600[分機130、131]。
Large Scale and Big Data ― Processing and Management
作者:Sherif Sakr (EDT); Mohamed Gaber (EDT)  出版社:Taylor & Francis  出版日:2014/06/18 裝訂:精裝
"This book provides a central source of reference on the various data management techniques of large scale data processing and its technology application. This book presents chapters written by leadin
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02-25006600[分機130、131]。
Cloud Data Management
作者:Liang Zhao; Sherif Sakr; Anna Liu; Athman Bouguettaya  出版社:Springer Verlag  出版日:2014/03/31 裝訂:精裝
In practice, the design and architecture of a cloud varies among cloud providers. We present a generic evaluation framework for the performance, availability and reliability characteristics of various
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02-25006600[分機130、131]。
Large-scale Graph Processing Using Apache Giraph
90折
作者:Sherif Sakr; Faisal Moeen Orakzai; Ibrahim Abdelaziz; Zuhair Khayyat  出版社:Springer-Verlag New York Inc  出版日:2017/01/12 裝訂:精裝
This book takes its reader on a journey through Apache Giraph, a popular distributed graph processing platform designed to bring the power of big data processing to graph data. Designed as a step-by-s
定價:3150 元, 優惠價:9 2835
無庫存,下單後進貨(到貨天數約30-45天)
Transactions on Large-scale Data- and Knowledge-centered Systems ― Special Issue on Advanced Techniques for Big Data Management
90折
The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer s
定價:2700 元, 優惠價:9 2430
無庫存,下單後進貨(到貨天數約45天)
Process Analytics ― Concepts and Techniques for Querying and Analyzing Process Data
This book starts with an introduction to process modeling and process paradigms, then explains how to query and analyze process models, and how to analyze the process execution data. In this way, read
若需訂購本書,請電洽客服
02-25006600[分機130、131]。
Linked Data ― Storing, Querying, and Reasoning
作者:Sherif Sakr; Marcin Wylot; Raghava Mutharaju; Danh Le Phuoc; Irini Fundulaki  出版社:Springer-Verlag New York Inc  出版日:2018/03/09 裝訂:精裝
This book describes efficient and effective techniques for harnessing the power of Linked Data by tackling the various aspects of managing its growing volume: storing, querying, reasoning, provenance
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02-25006600[分機130、131]。

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