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
Analytics optimization with columnst...
~
Pollack, Edward.
FindBook
Google Book
Amazon
博客來
Analytics optimization with columnstore indexes in Microsoft SQL Server = optimizing OLAP workloads /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Analytics optimization with columnstore indexes in Microsoft SQL Server/ by Edward Pollack.
其他題名:
optimizing OLAP workloads /
作者:
Pollack, Edward.
出版者:
Berkeley, CA :Apress : : 2022.,
面頁冊數:
xix, 280 p. :ill., digital ;24 cm.
內容註:
1. Introduction to Analytic Data in a Transactional Database -- 2. Transactional vs. Analytic Workloads -- 3. What are Columnstore Indexes? -- 4. Columnstore Index Architecture -- 5. Columnstore Compression -- 6. Columnstore Metadata -- 7. Batch Execution -- 8. Bulk Loading Data -- 9. Delete and Update Operations -- 10. Segment and Rowgroup Elimination -- 11. Partitioning -- 12. Non-Clustered Columnstore Indexes on Rowstore Tables -- 13. Non-Clustered Rowstore Indexes on Columnstore Tables -- 14. Columnstore Index Maintenance -- 15. Columnstore Index Performance.
Contained By:
Springer Nature eBook
標題:
Client/server computing. -
電子資源:
https://doi.org/10.1007/978-1-4842-8048-5
ISBN:
9781484280485
Analytics optimization with columnstore indexes in Microsoft SQL Server = optimizing OLAP workloads /
Pollack, Edward.
Analytics optimization with columnstore indexes in Microsoft SQL Server
optimizing OLAP workloads /[electronic resource] :by Edward Pollack. - Berkeley, CA :Apress :2022. - xix, 280 p. :ill., digital ;24 cm.
1. Introduction to Analytic Data in a Transactional Database -- 2. Transactional vs. Analytic Workloads -- 3. What are Columnstore Indexes? -- 4. Columnstore Index Architecture -- 5. Columnstore Compression -- 6. Columnstore Metadata -- 7. Batch Execution -- 8. Bulk Loading Data -- 9. Delete and Update Operations -- 10. Segment and Rowgroup Elimination -- 11. Partitioning -- 12. Non-Clustered Columnstore Indexes on Rowstore Tables -- 13. Non-Clustered Rowstore Indexes on Columnstore Tables -- 14. Columnstore Index Maintenance -- 15. Columnstore Index Performance.
Meet the challenge of storing and accessing analytic data in SQL Server in a fast and performant manner. This book illustrates how columnstore indexes can provide an ideal solution for storing analytic data that leads to faster performing analytic queries and the ability to ask and answer business intelligence questions with alacrity. The book provides a complete walk through of columnstore indexing that encompasses an introduction, best practices, hands-on demonstrations, explanations of common mistakes, and presents a detailed architecture that is suitable for professionals of all skill levels. With little or no knowledge of columnstore indexing you can become proficient with columnstore indexes as used in SQL Server, and apply that knowledge in development, test, and production environments. This book serves as a comprehensive guide to the use of columnstore indexes and provides definitive guidelines. You will learn when columnstore indexes should be used, and the performance gains that you can expect. You will also become familiar with best practices around architecture, implementation, and maintenance. Finally, you will know the limitations and common pitfalls to be aware of and avoid. As analytic data can become quite large, the expense to manage it or migrate it can be high. This book shows that columnstore indexing represents an effective storage solution that saves time, money, and improves performance for any applications that use it. You will see that columnstore indexes are an effective performance solution that is included in all versions of SQL Server, with no additional costs or licensing required. What You Will Learn Implement columnstore indexes in SQL Server Know best practices for the use and maintenance of analytic data in SQL Server Use metadata to fully understand the size and shape of data stored in columnstore indexes Employ optimal ways to load, maintain, and delete data from large analytic tables Know how columnstore compression saves storage, memory, and time Understand when a columnstore index should be used instead of a rowstore index Be familiar with advanced features and analytics.
ISBN: 9781484280485
Standard No.: 10.1007/978-1-4842-8048-5doiSubjects--Uniform Titles:
SQL server.
Subjects--Topical Terms:
532546
Client/server computing.
LC Class. No.: QA76.9.C55 / P65 2022
Dewey Class. No.: 005.7585
Analytics optimization with columnstore indexes in Microsoft SQL Server = optimizing OLAP workloads /
LDR
:03767nmm a2200325 a 4500
001
2299399
003
DE-He213
005
20220226072452.0
006
m d
007
cr nn 008maaau
008
230324s2022 cau s 0 eng d
020
$a
9781484280485
$q
(electronic bk.)
020
$a
9781484280478
$q
(paper)
024
7
$a
10.1007/978-1-4842-8048-5
$2
doi
035
$a
978-1-4842-8048-5
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.9.C55
$b
P65 2022
072
7
$a
UN
$2
bicssc
072
7
$a
COM021000
$2
bisacsh
072
7
$a
UN
$2
thema
082
0 4
$a
005.7585
$2
23
090
$a
QA76.9.C55
$b
P771 2022
100
1
$a
Pollack, Edward.
$3
3384013
245
1 0
$a
Analytics optimization with columnstore indexes in Microsoft SQL Server
$h
[electronic resource] :
$b
optimizing OLAP workloads /
$c
by Edward Pollack.
260
$a
Berkeley, CA :
$b
Apress :
$b
Imprint: Apress,
$c
2022.
300
$a
xix, 280 p. :
$b
ill., digital ;
$c
24 cm.
505
0
$a
1. Introduction to Analytic Data in a Transactional Database -- 2. Transactional vs. Analytic Workloads -- 3. What are Columnstore Indexes? -- 4. Columnstore Index Architecture -- 5. Columnstore Compression -- 6. Columnstore Metadata -- 7. Batch Execution -- 8. Bulk Loading Data -- 9. Delete and Update Operations -- 10. Segment and Rowgroup Elimination -- 11. Partitioning -- 12. Non-Clustered Columnstore Indexes on Rowstore Tables -- 13. Non-Clustered Rowstore Indexes on Columnstore Tables -- 14. Columnstore Index Maintenance -- 15. Columnstore Index Performance.
520
$a
Meet the challenge of storing and accessing analytic data in SQL Server in a fast and performant manner. This book illustrates how columnstore indexes can provide an ideal solution for storing analytic data that leads to faster performing analytic queries and the ability to ask and answer business intelligence questions with alacrity. The book provides a complete walk through of columnstore indexing that encompasses an introduction, best practices, hands-on demonstrations, explanations of common mistakes, and presents a detailed architecture that is suitable for professionals of all skill levels. With little or no knowledge of columnstore indexing you can become proficient with columnstore indexes as used in SQL Server, and apply that knowledge in development, test, and production environments. This book serves as a comprehensive guide to the use of columnstore indexes and provides definitive guidelines. You will learn when columnstore indexes should be used, and the performance gains that you can expect. You will also become familiar with best practices around architecture, implementation, and maintenance. Finally, you will know the limitations and common pitfalls to be aware of and avoid. As analytic data can become quite large, the expense to manage it or migrate it can be high. This book shows that columnstore indexing represents an effective storage solution that saves time, money, and improves performance for any applications that use it. You will see that columnstore indexes are an effective performance solution that is included in all versions of SQL Server, with no additional costs or licensing required. What You Will Learn Implement columnstore indexes in SQL Server Know best practices for the use and maintenance of analytic data in SQL Server Use metadata to fully understand the size and shape of data stored in columnstore indexes Employ optimal ways to load, maintain, and delete data from large analytic tables Know how columnstore compression saves storage, memory, and time Understand when a columnstore index should be used instead of a rowstore index Be familiar with advanced features and analytics.
630
0 0
$a
SQL server.
$3
542688
650
0
$a
Client/server computing.
$3
532546
650
0
$a
Database management.
$3
527442
650
2 4
$a
Microsoft.
$3
3593799
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
856
4 0
$u
https://doi.org/10.1007/978-1-4842-8048-5
950
$a
Professional and Applied Computing (SpringerNature-12059)
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
W9441291
電子資源
11.線上閱覽_V
電子書
EB QA76.9.C55 P65 2022
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