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Azure Data Factory by Example: Practical Implementation for Data Engineers Paperback – 10 Jun. 2021

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Previous page
  1. ISBN-10
    1484270282
  2. ISBN-13
    978-1484270288
  3. Edition
    1st ed.
  4. Publication date
    10 Jun. 2021
  5. Language
    English
  6. Dimensions
    17.81 x 2.08 x 25.4 cm
  7. Print length
    357 pages
  8. See all details
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Frequently bought together

  • Azure Data Factory by Example: Practical Implementation for Data Engineers
  • +
  • Azure Data Factory Cookbook: Build and manage ETL and ELT pipelines with Microsoft Azure's serverless data integration servic
  • +
  • The Modern Data Warehouse in Azure: Building with Speed and Agility on Microsoft’s Cloud Platform
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Product description

From the Back Cover

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

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).

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
  • Customer reviews:
    4.4 out of 5 stars 23 ratings

About the author

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Richard Swinbank

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​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).

Customer reviews

4.4 out of 5 stars
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4.0 out of 5 stars One of the best tech books i've bought in years
Reviewed in the United Kingdom on 16 July 2021
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