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Azure Data Factory by Example: Practical Implementation for Data Engineers Paperback – 10 Jun. 2021
Richard Swinbank (Author) See search results for this author |
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Enhance your purchase
- ISBN-101484270282
- ISBN-13978-1484270288
- Edition1st ed.
- Publication date10 Jun. 2021
- LanguageEnglish
- Dimensions17.81 x 2.08 x 25.4 cm
- Print length357 pages
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Product description
From the Back Cover
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
About the Author
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Product details
- Publisher : Apress; 1st ed. edition (10 Jun. 2021)
- Language : English
- Paperback : 357 pages
- ISBN-10 : 1484270282
- ISBN-13 : 978-1484270288
- Dimensions : 17.81 x 2.08 x 25.4 cm
- Best Sellers Rank: 246,911 in Books (See Top 100 in Books)
- Customer reviews:
About the author

Richard Swinbank is a data engineer and Microsoft Data Platform MVP. He specializes in building and automating analytics platforms using Microsoft technologies from the SQL Server stack to the Azure cloud. He is a fervent advocate of DataOps, with a technical focus on bringing automation to both analytics development and operations. An active member of the data community and keen knowledge-sharer, Richard is a volunteer, organizer, speaker, blogger, open source contributor, and author. He holds a PhD in computer science from the University of Birmingham (UK).
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