語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Cloud data design, orchestration, an...
~
Diaz, Francesco.
Cloud data design, orchestration, and management using Microsoft Azuremaster and design a solution leveraging the Azure data platform /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Cloud data design, orchestration, and management using Microsoft Azureby Francesco Diaz, Roberto Freato.
其他題名:
master and design a solution leveraging the Azure data platform /
作者:
Diaz, Francesco.
其他作者:
Freato, Roberto.
出版者:
Berkeley, CA :Apress :2018.
面頁冊數:
xviii, 438 p. :digital ;24 cm.
Contained By:
Springer eBooks
標題:
Cloud computing.
電子資源:
http://dx.doi.org/10.1007/978-1-4842-3615-4
ISBN:
9781484236154$q(electronic bk.)
Cloud data design, orchestration, and management using Microsoft Azuremaster and design a solution leveraging the Azure data platform /
Diaz, Francesco.
Cloud data design, orchestration, and management using Microsoft Azure
master and design a solution leveraging the Azure data platform /[electronic resource] :by Francesco Diaz, Roberto Freato. - Berkeley, CA :Apress :2018. - xviii, 438 p. :digital ;24 cm.
1 Working with Azure Database Services Platform -- 2 Working with SQL Server on Hybrid Cloud and Azure IaaS -- 3 Working with NoSQL Alternatives -- 4 Orchestrate Data with Azure Data Factory -- 5 Working with Azure Data Lake Store and Azure Data Lake Analytics -- 6 Working with In-Transit Data and Analytics.
Use Microsoft Azure to optimally design your data solutions and save time and money. Scenarios are presented covering analysis, design, integration, monitoring, and derivatives. This book is about data and provides you with a wide range of possibilities to implement a data solution on Azure, from hybrid cloud to PaaS services. Migration from existing solutions is presented in detail. Alternatives and their scope are discussed. Five of six chapters explore PaaS, while one focuses on SQL Server features for cloud and relates to hybrid cloud and IaaS functionalities. What You'll Learn: Know the Azure services useful to implement a data solution Match the products/services used to your specific needs Fit relational databases efficiently into data design Understand how to work with any type of data using Azure Hybrid and Public cloud features Use non-relational alternatives to solve even complex requirements Orchestrate data movement using Azure services Approach analysis and manipulation according to the data life cycle.
ISBN: 9781484236154$q(electronic bk.)
Standard No.: 10.1007/978-1-4842-3615-4doiSubjects--Uniform Titles:
Microsoft Azure SQL Database.
Subjects--Topical Terms:
378527
Cloud computing.
LC Class. No.: QA76.585 / .D539 2018
Dewey Class. No.: 004.6782
Cloud data design, orchestration, and management using Microsoft Azuremaster and design a solution leveraging the Azure data platform /
LDR
:02340nmm a2200289 a 4500
001
540930
003
DE-He213
005
20190116100103.0
006
m d
007
cr nn 008maaau
008
190308s2018 cau s 0 eng d
020
$a
9781484236154$q(electronic bk.)
020
$a
9781484236147$q(paper)
024
7
$a
10.1007/978-1-4842-3615-4
$2
doi
035
$a
978-1-4842-3615-4
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.585
$b
.D539 2018
082
0 4
$a
004.6782
$2
23
090
$a
QA76.585
$b
.D542 2018
100
1
$a
Diaz, Francesco.
$3
819460
245
1 0
$a
Cloud data design, orchestration, and management using Microsoft Azure
$h
[electronic resource] :
$b
master and design a solution leveraging the Azure data platform /
$c
by Francesco Diaz, Roberto Freato.
260
$a
Berkeley, CA :
$b
Apress :
$b
Imprint: Apress,
$c
2018.
300
$a
xviii, 438 p. :
$b
digital ;
$c
24 cm.
505
0
$a
1 Working with Azure Database Services Platform -- 2 Working with SQL Server on Hybrid Cloud and Azure IaaS -- 3 Working with NoSQL Alternatives -- 4 Orchestrate Data with Azure Data Factory -- 5 Working with Azure Data Lake Store and Azure Data Lake Analytics -- 6 Working with In-Transit Data and Analytics.
520
$a
Use Microsoft Azure to optimally design your data solutions and save time and money. Scenarios are presented covering analysis, design, integration, monitoring, and derivatives. This book is about data and provides you with a wide range of possibilities to implement a data solution on Azure, from hybrid cloud to PaaS services. Migration from existing solutions is presented in detail. Alternatives and their scope are discussed. Five of six chapters explore PaaS, while one focuses on SQL Server features for cloud and relates to hybrid cloud and IaaS functionalities. What You'll Learn: Know the Azure services useful to implement a data solution Match the products/services used to your specific needs Fit relational databases efficiently into data design Understand how to work with any type of data using Azure Hybrid and Public cloud features Use non-relational alternatives to solve even complex requirements Orchestrate data movement using Azure services Approach analysis and manipulation according to the data life cycle.
630
0 0
$a
Microsoft Azure SQL Database.
$3
727076
650
0
$a
Cloud computing.
$3
378527
650
0
$a
Data warehousing.
$3
199894
650
1 4
$a
Computer Science.
$3
212513
650
2 4
$a
Microsoft and .NET.
$3
760507
650
2 4
$a
Open Source.
$3
758930
650
2 4
$a
Computing Methodologies.
$3
274528
700
1
$a
Freato, Roberto.
$3
819461
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
856
4 0
$u
http://dx.doi.org/10.1007/978-1-4842-3615-4
950
$a
Professional and Applied Computing (Springer-12059)
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
000000160687
電子館藏
1圖書
電子書
EB QA76.585 D542 2018 2018
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
http://dx.doi.org/10.1007/978-1-4842-3615-4
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