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
PolyBase revealed = data virtualizat...
~
Feasel, Kevin.
FindBook
Google Book
Amazon
博客來
PolyBase revealed = data virtualization with SQL server, Hadoop, Apache Spark, and beyond /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
PolyBase revealed/ by Kevin Feasel.
其他題名:
data virtualization with SQL server, Hadoop, Apache Spark, and beyond /
作者:
Feasel, Kevin.
出版者:
Berkeley, CA :Apress : : 2020.,
面頁冊數:
xix, 311 p. :ill., digital ;24 cm.
內容註:
1. Installing and Configuring PolyBase -- 2. Connecting to Azure Blob Storage -- 3. Connecting to Hadoop -- 4. Using Predicate Pushdown to Enhance Query Performance -- 5. Common Hadoop and Blob Storage Integration Errors -- 6. Integrating with SQL Server -- 7. Built-In Integrations: Cosmos DB, Oracle, and More -- 8. Integrating via ODBC -- 9. PolyBase in Azure SQL Data Warehouse -- 10. Examining PolyBase via Dynamic Management Views -- 11. Query Tuning with Statistics and Execution Plans -- 12. PolyBase in Practice.
Contained By:
Springer eBooks
標題:
Information visualization. -
電子資源:
https://doi.org/10.1007/978-1-4842-5461-5
ISBN:
9781484254615
PolyBase revealed = data virtualization with SQL server, Hadoop, Apache Spark, and beyond /
Feasel, Kevin.
PolyBase revealed
data virtualization with SQL server, Hadoop, Apache Spark, and beyond /[electronic resource] :by Kevin Feasel. - Berkeley, CA :Apress :2020. - xix, 311 p. :ill., digital ;24 cm.
1. Installing and Configuring PolyBase -- 2. Connecting to Azure Blob Storage -- 3. Connecting to Hadoop -- 4. Using Predicate Pushdown to Enhance Query Performance -- 5. Common Hadoop and Blob Storage Integration Errors -- 6. Integrating with SQL Server -- 7. Built-In Integrations: Cosmos DB, Oracle, and More -- 8. Integrating via ODBC -- 9. PolyBase in Azure SQL Data Warehouse -- 10. Examining PolyBase via Dynamic Management Views -- 11. Query Tuning with Statistics and Execution Plans -- 12. PolyBase in Practice.
Harness the power of PolyBase data virtualization software to make data from a variety of sources easily accessible through SQL queries while using the T-SQL skills you already know and have mastered. PolyBase Revealed shows you how to use the PolyBase feature of SQL Server 2019 to integrate SQL Server with Azure Blob Storage, Apache Hadoop, other SQL Server instances, Oracle, Cosmos DB, Apache Spark, and more. You will learn how PolyBase can help you reduce storage and other costs by avoiding the need for ETL processes that duplicate data in order to make it accessible from one source. PolyBase makes SQL Server into that one source, and T-SQL is your golden ticket. The book also covers PolyBase scale-out clusters, allowing you to distribute PolyBase queries among several SQL Server instances, thus improving performance. With great flexibility comes great complexity, and this book shows you where to look when queries fail, complete with coverage of internals, troubleshooting techniques, and where to find more information on obscure cross-platform errors. Data virtualization is a key target for Microsoft with SQL Server 2019. This book will help you keep your skills current, remain relevant, and build new business and career opportunities around Microsoft's product direction. You will: Install and configure PolyBase as a stand-alone service, or unlock its capabilities with a scale-out cluster Understand how PolyBase interacts with outside data sources while presenting their data as regular SQL Server tables Write queries combining data from SQL Server, Apache Hadoop, Oracle, Cosmos DB, Apache Spark, and more Troubleshoot PolyBase queries using SQL Server Dynamic Management Views Tune PolyBase queries using statistics and execution plans Solve common business problems, including "cold storage" of infrequently accessed data and simplifying ETL jobs.
ISBN: 9781484254615
Standard No.: 10.1007/978-1-4842-5461-5doiSubjects--Topical Terms:
615673
Information visualization.
LC Class. No.: QA76.9.I52 / F437 2020
Dewey Class. No.: 001.4226
PolyBase revealed = data virtualization with SQL server, Hadoop, Apache Spark, and beyond /
LDR
:03452nmm a2200337 a 4500
001
2215352
003
DE-He213
005
20200602093421.0
006
m d
007
cr nn 008maaau
008
201119s2020 cau s 0 eng d
020
$a
9781484254615
$q
(electronic bk.)
020
$a
9781484254608
$q
(paper)
024
7
$a
10.1007/978-1-4842-5461-5
$2
doi
035
$a
978-1-4842-5461-5
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.9.I52
$b
F437 2020
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
001.4226
$2
23
090
$a
QA76.9.I52
$b
F288 2020
100
1
$a
Feasel, Kevin.
$3
3446654
245
1 0
$a
PolyBase revealed
$h
[electronic resource] :
$b
data virtualization with SQL server, Hadoop, Apache Spark, and beyond /
$c
by Kevin Feasel.
260
$a
Berkeley, CA :
$b
Apress :
$b
Imprint: Apress,
$c
2020.
300
$a
xix, 311 p. :
$b
ill., digital ;
$c
24 cm.
505
0
$a
1. Installing and Configuring PolyBase -- 2. Connecting to Azure Blob Storage -- 3. Connecting to Hadoop -- 4. Using Predicate Pushdown to Enhance Query Performance -- 5. Common Hadoop and Blob Storage Integration Errors -- 6. Integrating with SQL Server -- 7. Built-In Integrations: Cosmos DB, Oracle, and More -- 8. Integrating via ODBC -- 9. PolyBase in Azure SQL Data Warehouse -- 10. Examining PolyBase via Dynamic Management Views -- 11. Query Tuning with Statistics and Execution Plans -- 12. PolyBase in Practice.
520
$a
Harness the power of PolyBase data virtualization software to make data from a variety of sources easily accessible through SQL queries while using the T-SQL skills you already know and have mastered. PolyBase Revealed shows you how to use the PolyBase feature of SQL Server 2019 to integrate SQL Server with Azure Blob Storage, Apache Hadoop, other SQL Server instances, Oracle, Cosmos DB, Apache Spark, and more. You will learn how PolyBase can help you reduce storage and other costs by avoiding the need for ETL processes that duplicate data in order to make it accessible from one source. PolyBase makes SQL Server into that one source, and T-SQL is your golden ticket. The book also covers PolyBase scale-out clusters, allowing you to distribute PolyBase queries among several SQL Server instances, thus improving performance. With great flexibility comes great complexity, and this book shows you where to look when queries fail, complete with coverage of internals, troubleshooting techniques, and where to find more information on obscure cross-platform errors. Data virtualization is a key target for Microsoft with SQL Server 2019. This book will help you keep your skills current, remain relevant, and build new business and career opportunities around Microsoft's product direction. You will: Install and configure PolyBase as a stand-alone service, or unlock its capabilities with a scale-out cluster Understand how PolyBase interacts with outside data sources while presenting their data as regular SQL Server tables Write queries combining data from SQL Server, Apache Hadoop, Oracle, Cosmos DB, Apache Spark, and more Troubleshoot PolyBase queries using SQL Server Dynamic Management Views Tune PolyBase queries using statistics and execution plans Solve common business problems, including "cold storage" of infrequently accessed data and simplifying ETL jobs.
650
0
$a
Information visualization.
$3
615673
650
1 4
$a
Database Management.
$3
891010
650
2 4
$a
Microsoft and .NET.
$3
3134847
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer eBooks
856
4 0
$u
https://doi.org/10.1007/978-1-4842-5461-5
950
$a
Professional and Applied Computing (Springer-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
W9390260
電子資源
11.線上閱覽_V
電子書
EB QA76.9.I52 F437 2020
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