語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
到查詢結果
[ author_sort:"aytas, yusuf." ]
切換:
標籤
|
MARC模式
|
ISBD
Designing big data platformshow to use, deploy, and maintain big data systems /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Designing big data platformsYusuf Aytas.
其他題名:
how to use, deploy, and maintain big data systems /
作者:
Aytas, Yusuf.
出版者:
Hoboken, NJ :Wiley,2021.
面頁冊數:
1 online resource (273 p.)
標題:
Big data.
電子資源:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781119690962
ISBN:
9781119690962$q(electronic bk. ;$qoBook)
Designing big data platformshow to use, deploy, and maintain big data systems /
Aytas, Yusuf.
Designing big data platforms
how to use, deploy, and maintain big data systems /[electronic resource] :Yusuf Aytas. - Hoboken, NJ :Wiley,2021. - 1 online resource (273 p.)
Includes bibliographical references and index.
Front Matter -- An Introduction: What's a Modern Big Data Platform -- A Bird's Eye View on Big Data -- A Minimal Data Processing and Management System -- Big Data Storage -- Offline Big Data Processing -- Stream Big Data Processing -- Data Analytics -- Data Science -- Data Discovery -- Data Security -- Putting All Together -- An Ideal Platform -- Appendix A: Further Systems and Patterns -- Appendix B: Recipes.
An array of tools are currently available for managing and processing data-some are ready-to-go solutions that can be immediately deployed, while others require complex and time-intensive setups. With such a vast range of options, choosing the right tool to build a solution can be complicated, as can determining which tools work well with each other. Designing Big Data Platforms provides clear and authoritative guidance on the critical decisions necessary for successfully deploying, operating, and maintaining Big Data systems. This highly practical guide helps readers understand how to process large amounts of data with well-known Linux tools and database solutions, use effective techniques to collect and manage data from multiple sources, transform data into meaningful business insights, and much more. Author Yusuf Aytas, a software engineer with a vast amount of big data experience, discusses the design of the ideal Big Data platform: one that meets the needs of data analysts, data engineers, data scientists, software engineers, and a spectrum of other stakeholders across an organization. Detailed yet accessible chapters cover key topics such as stream data processing, data analytics, data science, data discovery, and data security.
ISBN: 9781119690962$q(electronic bk. ;$qoBook)
Standard No.: 10.1002/9781119690962doiSubjects--Topical Terms:
609582
Big data.
LC Class. No.: QA76.9.B45
Dewey Class. No.: 005.7
Designing big data platformshow to use, deploy, and maintain big data systems /
LDR
:02629cmm a2200289 a 4500
001
627328
003
OCoLC
005
20210827144319.0
006
m o d
007
cr cnu---unuuu
008
230118s2021 nju ob 001 0 eng d
020
$a
9781119690962$q(electronic bk. ;$qoBook)
020
$a
111969096X$q(electronic bk. ;$qoBook)
020
$z
9781119690924
024
7
$a
10.1002/9781119690962
$2
doi
035
$a
1260347969
040
$a
EBLCP
$b
eng
$c
EBLCP
$d
DG1
$d
OCLCO
041
0
$a
eng
050
4
$a
QA76.9.B45
082
0 4
$a
005.7
100
1
$a
Aytas, Yusuf.
$3
931387
245
1 0
$a
Designing big data platforms
$h
[electronic resource] :
$b
how to use, deploy, and maintain big data systems /
$c
Yusuf Aytas.
260
$a
Hoboken, NJ :
$b
Wiley,
$c
2021.
300
$a
1 online resource (273 p.)
504
$a
Includes bibliographical references and index.
505
0
$a
Front Matter -- An Introduction: What's a Modern Big Data Platform -- A Bird's Eye View on Big Data -- A Minimal Data Processing and Management System -- Big Data Storage -- Offline Big Data Processing -- Stream Big Data Processing -- Data Analytics -- Data Science -- Data Discovery -- Data Security -- Putting All Together -- An Ideal Platform -- Appendix A: Further Systems and Patterns -- Appendix B: Recipes.
520
$a
An array of tools are currently available for managing and processing data-some are ready-to-go solutions that can be immediately deployed, while others require complex and time-intensive setups. With such a vast range of options, choosing the right tool to build a solution can be complicated, as can determining which tools work well with each other. Designing Big Data Platforms provides clear and authoritative guidance on the critical decisions necessary for successfully deploying, operating, and maintaining Big Data systems. This highly practical guide helps readers understand how to process large amounts of data with well-known Linux tools and database solutions, use effective techniques to collect and manage data from multiple sources, transform data into meaningful business insights, and much more. Author Yusuf Aytas, a software engineer with a vast amount of big data experience, discusses the design of the ideal Big Data platform: one that meets the needs of data analysts, data engineers, data scientists, software engineers, and a spectrum of other stakeholders across an organization. Detailed yet accessible chapters cover key topics such as stream data processing, data analytics, data science, data discovery, and data security.
588
$a
Description based on print version record.
650
0
$a
Big data.
$3
609582
650
0
$a
Database management.
$3
182428
856
4 0
$u
https://onlinelibrary.wiley.com/doi/book/10.1002/9781119690962
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
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
000000217652
電子館藏
1圖書
電子書
EB QA76.9.B45 2021.
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
https://onlinelibrary.wiley.com/doi/book/10.1002/9781119690962
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入