LEADER 03352nam 2200457 450 001 9910484859203321 005 20220202212910.0 010 $a1-4842-7029-0 024 7 $a10.1007/978-1-4842-7029-5 035 $a(CKB)4100000011954022 035 $a(DE-He213)978-1-4842-7029-5 035 $a(MiAaPQ)EBC6640064 035 $a(Au-PeEL)EBL6640064 035 $a(OCoLC)1256542290 035 $a(CaSebORM)9781484270295 035 $a(EXLCZ)994100000011954022 100 $a20220202d2021 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAzure Data Factory by example $epractical implementation for data engineers /$fRichard Swinbank 205 $a1st ed. 2021. 210 1$a[Place of publication not identified] :$cApress,$d[2021] 210 4$dİ2021 215 $a1 online resource (XXII, 335 p. 148 illus.) 311 $a1-4842-7028-2 327 $a1. 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. 330 $aData 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. 606 $aData warehousing 615 0$aData warehousing. 676 $a658.40380285574 700 $aSwinbank$b Richard$0926160 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484859203321 996 $aAzure Data Factory by Example$92079541 997 $aUNINA