語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
SQL Server 2019 Revealed = Including...
~
Ward, Bob.
SQL Server 2019 Revealed = Including Big Data Clusters and Machine Learning /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
SQL Server 2019 Revealed/ by Bob Ward.
其他題名:
Including Big Data Clusters and Machine Learning /
作者:
Ward, Bob.
面頁冊數:
XXII, 422 p. 128 illus.online resource. :
Contained By:
Springer Nature eBook
標題:
Database management. -
電子資源:
https://doi.org/10.1007/978-1-4842-5419-6
ISBN:
9781484254196
SQL Server 2019 Revealed = Including Big Data Clusters and Machine Learning /
Ward, Bob.
SQL Server 2019 Revealed
Including Big Data Clusters and Machine Learning /[electronic resource] :by Bob Ward. - 1st ed. 2019. - XXII, 422 p. 128 illus.online resource.
1. Why SQL Server 2019? -- 2. Intelligent Performance -- 3. New Security Capabilities -- 4. Mission Critical Availability -- 5. Modern Development Platform -- 6. SQL Server 2019 on Linux -- 7. Inside SQL Server Containers -- 8. SQL Server on Kubernetes -- 9. SQL Server Data Virtualization -- 10. SQL Server Big Data Clusters -- 11. The Voice of the Customer and Migration.
Get up to speed on the game-changing developments in SQL Server 2019. No longer just a database engine, SQL Server 2019 is cutting edge with support for machine learning (ML), big data analytics, Linux, containers, Kubernetes, Java, and data virtualization to Azure. This is not a book on traditional database administration for SQL Server. It focuses on all that is new for one of the most successful modernized data platforms in the industry. It is a book for data professionals who already know the fundamentals of SQL Server and want to up their game by building their skills in some of the hottest new areas in technology. SQL Server 2019 Revealed begins with a look at the project's team goal to integrate the world of big data with SQL Server into a major product release. The book then dives into the details of key new capabilities in SQL Server 2019 using a “learn by example” approach for Intelligent Performance, security, mission-critical availability, and features for the modern developer. Also covered are enhancements to SQL Server 2019 for Linux and gain a comprehensive look at SQL Server using containers and Kubernetes clusters. The book concludes by showing you how to virtualize your data access with Polybase to Oracle, MongoDB, Hadoop, and Azure, allowing you to reduce the need for expensive extract, transform, and load (ETL) applications. You will then learn how to take your knowledge of containers, Kubernetes, and Polybase to build a comprehensive solution called Big Data Clusters, which is a marquee feature of 2019. You will also learn how to gain access to Spark, SQL Server, and HDFS to build intelligence over your own data lake and deploy end-to-end machine learning applications. You will: Implement Big Data Clusters with SQL Server, Spark, and HDFS Create a Data Hub with connections to Oracle, Azure, Hadoop, and other sources Combine SQL and Spark to build a machine learning platform for AI applications Boost your performance with no application changes using Intelligent Performance Increase security of your SQL Server through Secure Enclaves and Data Classification Maximize database uptime through online indexing and Accelerated Database Recovery Build new modern applications with Graph, ML Services, and T-SQL Extensibility with Java Improve your ability to deploy SQL Server on Linux Gain in-depth knowledge to run SQL Server with containers and Kubernetes Know all the new database engine features for performance, usability, and diagnostics Use the latest tools and methods to migrate your database to SQL Server 2019 Apply your knowledge of SQL Server 2019 to Azure.
ISBN: 9781484254196
Standard No.: 10.1007/978-1-4842-5419-6doiSubjects--Topical Terms:
557799
Database management.
LC Class. No.: QA76.9.D3
Dewey Class. No.: 005.74
SQL Server 2019 Revealed = Including Big Data Clusters and Machine Learning /
LDR
:04331nam a22003975i 4500
001
1014627
003
DE-He213
005
20200703174745.0
007
cr nn 008mamaa
008
210106s2019 xxu| s |||| 0|eng d
020
$a
9781484254196
$9
978-1-4842-5419-6
024
7
$a
10.1007/978-1-4842-5419-6
$2
doi
035
$a
978-1-4842-5419-6
050
4
$a
QA76.9.D3
072
7
$a
UN
$2
bicssc
072
7
$a
COM021000
$2
bisacsh
072
7
$a
UN
$2
thema
072
7
$a
UMT
$2
thema
082
0 4
$a
005.74
$2
23
100
1
$a
Ward, Bob.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1210721
245
1 0
$a
SQL Server 2019 Revealed
$h
[electronic resource] :
$b
Including Big Data Clusters and Machine Learning /
$c
by Bob Ward.
250
$a
1st ed. 2019.
264
1
$a
Berkeley, CA :
$b
Apress :
$b
Imprint: Apress,
$c
2019.
300
$a
XXII, 422 p. 128 illus.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
505
0
$a
1. Why SQL Server 2019? -- 2. Intelligent Performance -- 3. New Security Capabilities -- 4. Mission Critical Availability -- 5. Modern Development Platform -- 6. SQL Server 2019 on Linux -- 7. Inside SQL Server Containers -- 8. SQL Server on Kubernetes -- 9. SQL Server Data Virtualization -- 10. SQL Server Big Data Clusters -- 11. The Voice of the Customer and Migration.
520
$a
Get up to speed on the game-changing developments in SQL Server 2019. No longer just a database engine, SQL Server 2019 is cutting edge with support for machine learning (ML), big data analytics, Linux, containers, Kubernetes, Java, and data virtualization to Azure. This is not a book on traditional database administration for SQL Server. It focuses on all that is new for one of the most successful modernized data platforms in the industry. It is a book for data professionals who already know the fundamentals of SQL Server and want to up their game by building their skills in some of the hottest new areas in technology. SQL Server 2019 Revealed begins with a look at the project's team goal to integrate the world of big data with SQL Server into a major product release. The book then dives into the details of key new capabilities in SQL Server 2019 using a “learn by example” approach for Intelligent Performance, security, mission-critical availability, and features for the modern developer. Also covered are enhancements to SQL Server 2019 for Linux and gain a comprehensive look at SQL Server using containers and Kubernetes clusters. The book concludes by showing you how to virtualize your data access with Polybase to Oracle, MongoDB, Hadoop, and Azure, allowing you to reduce the need for expensive extract, transform, and load (ETL) applications. You will then learn how to take your knowledge of containers, Kubernetes, and Polybase to build a comprehensive solution called Big Data Clusters, which is a marquee feature of 2019. You will also learn how to gain access to Spark, SQL Server, and HDFS to build intelligence over your own data lake and deploy end-to-end machine learning applications. You will: Implement Big Data Clusters with SQL Server, Spark, and HDFS Create a Data Hub with connections to Oracle, Azure, Hadoop, and other sources Combine SQL and Spark to build a machine learning platform for AI applications Boost your performance with no application changes using Intelligent Performance Increase security of your SQL Server through Secure Enclaves and Data Classification Maximize database uptime through online indexing and Accelerated Database Recovery Build new modern applications with Graph, ML Services, and T-SQL Extensibility with Java Improve your ability to deploy SQL Server on Linux Gain in-depth knowledge to run SQL Server with containers and Kubernetes Know all the new database engine features for performance, usability, and diagnostics Use the latest tools and methods to migrate your database to SQL Server 2019 Apply your knowledge of SQL Server 2019 to Azure.
650
0
$a
Database management.
$3
557799
650
0
$a
Microsoft software.
$3
1253736
650
0
$a
Microsoft .NET Framework.
$3
565417
650
1 4
$a
Database Management.
$3
669820
650
2 4
$a
Microsoft and .NET.
$3
1114109
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9781484254189
776
0 8
$i
Printed edition:
$z
9781484254202
856
4 0
$u
https://doi.org/10.1007/978-1-4842-5419-6
912
$a
ZDB-2-CWD
912
$a
ZDB-2-SXPC
950
$a
Professional and Applied Computing (SpringerNature-12059)
950
$a
Professional and Applied Computing (R0) (SpringerNature-43716)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入