國立虎尾科技大學 |

Azure Data Factory by Example = Practical Implementation for Data Engineers /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Azure Data Factory by Example/ by Richard Swinbank.
其他題名:	Practical Implementation for Data Engineers /
作者:	Swinbank, Richard.
面頁冊數:	XXII, 335 p. 148 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Database Management. -
電子資源:	https://doi.org/10.1007/978-1-4842-7029-5
ISBN:	9781484270295

Azure Data Factory by Example = Practical Implementation for Data Engineers /
Swinbank, Richard.

Azure Data Factory by ExamplePractical Implementation for Data Engineers /[electronic resource] :by Richard Swinbank. - 1st ed. 2021. - XXII, 335 p. 148 illus.online resource.

1. Creating an Azure Data Factory Instance -- 2. Your First Pipeline -- 3. The Copy Data Activity -- 4. Expressions -- 5. Parameters -- 6. Controlling Flow -- 7. Data Flows -- 8. Integration Runtimes -- 9. Power Query in ADF -- 10. Publishing to ADF -- 11. Triggers -- 12. Monitoring.

Data engineers who need to hit the ground running will use this book to build skills in Azure Data Factory v2 (ADF). The tutorial-first approach to ADF taken in this book gets you working from the first chapter, explaining key ideas naturally as you encounter them. From creating your first data factory to building complex, metadata-driven nested pipelines, the book guides you through essential concepts in Microsoft’s cloud-based ETL/ELT platform. It introduces components indispensable for the movement and transformation of data in the cloud. Then it demonstrates the tools necessary to orchestrate, monitor, and manage those components. The hands-on introduction to ADF found in this book is equally well-suited to data engineers embracing their first ETL/ELT toolset as it is to seasoned veterans of Microsoft’s SQL Server Integration Services (SSIS). The example-driven approach leads you through ADF pipeline construction from the ground up, introducing important ideas and making learning natural and engaging. SSIS users will find concepts with familiar parallels, while ADF-first readers will quickly master those concepts through the book’s steady building up of knowledge in successive chapters. Summaries of key concepts at the end of each chapter provide a ready reference that you can return to again and again. You will: Create pipelines, activities, datasets, and linked services Build reusable components using variables, parameters, and expressions Move data into and around Azure services automatically Transform data natively using ADF data flows and Power Query data wrangling Master flow-of-control and triggers for tightly orchestrated pipeline execution Publish and monitor pipelines easily and with confidence.

ISBN: 9781484270295

Standard No.: 10.1007/978-1-4842-7029-5doiSubjects--Topical Terms:

669820
Database Management.

LC Class. No.: QA76.76.M52

Dewey Class. No.: 004.165

Azure Data Factory by Example = Practical Implementation for Data Engineers /
LDR:03346nam a22003855i 4500 001 1055328
003 DE-He213
005 20210621205113.0
007 cr nn 008mamaa
008 220103s2021 xxu| s |||| 0|eng d
020 $a 9781484270295 $9 978-1-4842-7029-5
024 7 $a 10.1007/978-1-4842-7029-5 $2 doi
035 $a 978-1-4842-7029-5
050 4 $a QA76.76.M52
072 7 $a UMP $2 bicssc
072 7 $a COM051380 $2 bisacsh
072 7 $a UMP $2 thema
082 0 4 $a 004.165 $2 23
100 1 $a Swinbank, Richard. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1360497
245 1 0 $a Azure Data Factory by Example $h [electronic resource] : $b Practical Implementation for Data Engineers / $c by Richard Swinbank.
250 $a 1st ed. 2021.
264 1 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2021.
300 $a XXII, 335 p. 148 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. Creating an Azure Data Factory Instance -- 2. Your First Pipeline -- 3. The Copy Data Activity -- 4. Expressions -- 5. Parameters -- 6. Controlling Flow -- 7. Data Flows -- 8. Integration Runtimes -- 9. Power Query in ADF -- 10. Publishing to ADF -- 11. Triggers -- 12. Monitoring.
520 $a Data engineers who need to hit the ground running will use this book to build skills in Azure Data Factory v2 (ADF). The tutorial-first approach to ADF taken in this book gets you working from the first chapter, explaining key ideas naturally as you encounter them. From creating your first data factory to building complex, metadata-driven nested pipelines, the book guides you through essential concepts in Microsoft’s cloud-based ETL/ELT platform. It introduces components indispensable for the movement and transformation of data in the cloud. Then it demonstrates the tools necessary to orchestrate, monitor, and manage those components. The hands-on introduction to ADF found in this book is equally well-suited to data engineers embracing their first ETL/ELT toolset as it is to seasoned veterans of Microsoft’s SQL Server Integration Services (SSIS). The example-driven approach leads you through ADF pipeline construction from the ground up, introducing important ideas and making learning natural and engaging. SSIS users will find concepts with familiar parallels, while ADF-first readers will quickly master those concepts through the book’s steady building up of knowledge in successive chapters. Summaries of key concepts at the end of each chapter provide a ready reference that you can return to again and again. You will: Create pipelines, activities, datasets, and linked services Build reusable components using variables, parameters, and expressions Move data into and around Azure services automatically Transform data natively using ADF data flows and Power Query data wrangling Master flow-of-control and triggers for tightly orchestrated pipeline execution Publish and monitor pipelines easily and with confidence.
650 2 4 $a Database Management. $3 669820
650 1 4 $a Microsoft and .NET. $3 1114109
650 0 $a Database management. $3 557799
650 0 $a Microsoft .NET Framework. $3 565417
650 0 $a Microsoft software. $3 1253736
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9781484270288
776 0 8 $i Printed edition: $z 9781484270301
856 4 0 $u https://doi.org/10.1007/978-1-4842-7029-5
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)