語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Big data 2.0 processing systems = a ...
~
Sakr, Sherif.
FindBook
Google Book
Amazon
博客來
Big data 2.0 processing systems = a survey /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Big data 2.0 processing systems/ by Sherif Sakr.
其他題名:
a survey /
作者:
Sakr, Sherif.
出版者:
Cham :Springer International Publishing : : 2016.,
面頁冊數:
xv, 102 p. :ill., digital ;24 cm.
內容註:
Chapter 1: Introduction -- Chapter 2: General Purpose Big Data Processing Systems -- Chapter 3: Large Scale Processing of Structured Databases -- Chapter 4: Large Scale Graph Processing Systems -- Chapter 5: Large Scale Stream Processing Systems -- Chapter 6: Conclusions and Outlook.
Contained By:
Springer eBooks
標題:
Big data. -
電子資源:
http://dx.doi.org/10.1007/978-3-319-38776-5
ISBN:
9783319387765
Big data 2.0 processing systems = a survey /
Sakr, Sherif.
Big data 2.0 processing systems
a survey /[electronic resource] :by Sherif Sakr. - Cham :Springer International Publishing :2016. - xv, 102 p. :ill., digital ;24 cm. - SpringerBriefs in computer science,2191-5768. - SpringerBriefs in computer science..
Chapter 1: Introduction -- Chapter 2: General Purpose Big Data Processing Systems -- Chapter 3: Large Scale Processing of Structured Databases -- Chapter 4: Large Scale Graph Processing Systems -- Chapter 5: Large Scale Stream Processing Systems -- Chapter 6: Conclusions and Outlook.
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.
ISBN: 9783319387765
Standard No.: 10.1007/978-3-319-38776-5doiSubjects--Topical Terms:
2045508
Big data.
LC Class. No.: QA76.9.B45
Dewey Class. No.: 005.7
Big data 2.0 processing systems = a survey /
LDR
:03235nmm a2200337 a 4500
001
2047731
003
DE-He213
005
20160824040329.0
006
m d
007
cr nn 008maaau
008
170319s2016 gw s 0 eng d
020
$a
9783319387765
$q
(electronic bk.)
020
$a
9783319387758
$q
(paper)
024
7
$a
10.1007/978-3-319-38776-5
$2
doi
035
$a
978-3-319-38776-5
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.9.B45
072
7
$a
UN
$2
bicssc
072
7
$a
UMT
$2
bicssc
072
7
$a
COM021000
$2
bisacsh
082
0 4
$a
005.7
$2
23
090
$a
QA76.9.B45
$b
S158 2016
100
1
$a
Sakr, Sherif.
$3
2209883
245
1 0
$a
Big data 2.0 processing systems
$h
[electronic resource] :
$b
a survey /
$c
by Sherif Sakr.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2016.
300
$a
xv, 102 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
SpringerBriefs in computer science,
$x
2191-5768
505
0
$a
Chapter 1: Introduction -- Chapter 2: General Purpose Big Data Processing Systems -- Chapter 3: Large Scale Processing of Structured Databases -- Chapter 4: Large Scale Graph Processing Systems -- Chapter 5: Large Scale Stream Processing Systems -- Chapter 6: Conclusions and Outlook.
520
$a
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.
650
0
$a
Big data.
$3
2045508
650
0
$a
Databases.
$3
747532
650
1 4
$a
Computer Science.
$3
626642
650
2 4
$a
Database Management.
$3
891010
650
2 4
$a
Big Data/Analytics.
$3
2186785
650
2 4
$a
Information Storage and Retrieval.
$3
761906
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer eBooks
830
0
$a
SpringerBriefs in computer science.
$3
1567571
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-38776-5
950
$a
Computer Science (Springer-11645)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9285506
電子資源
11.線上閱覽_V
電子書
EB QA76.9.B45 S158 2016
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入