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Azure Data Factory Cookbook

You're reading from   Azure Data Factory Cookbook Build and manage ETL and ELT pipelines with Microsoft Azure's serverless data integration service

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Product type Paperback
Published in Dec 2020
Publisher Packt
ISBN-13 9781800565296
Length 382 pages
Edition 1st Edition
Tools
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Authors (4):
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Dmitry Anoshin Dmitry Anoshin
Author Profile Icon Dmitry Anoshin
Dmitry Anoshin
Roman Storchak Roman Storchak
Author Profile Icon Roman Storchak
Roman Storchak
Xenia Ireton Xenia Ireton
Author Profile Icon Xenia Ireton
Xenia Ireton
Dmitry Foshin Dmitry Foshin
Author Profile Icon Dmitry Foshin
Dmitry Foshin
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Toc

Table of Contents (12) Chapters Close

Preface 1. Chapter 1: Getting Started with ADF 2. Chapter 2: Orchestration and Control Flow FREE CHAPTER 3. Chapter 3: Setting Up a Cloud Data Warehouse 4. Chapter 4: Working with Azure Data Lake 5. Chapter 5: Working with Big Data – HDInsight and Databricks 6. Chapter 6: Integration with MS SSIS 7. Chapter 7: Data Migration – Azure Data Factory and Other Cloud Services 8. Chapter 8: Working with Azure Services Integration 9. Chapter 9: Managing Deployment Processes with Azure DevOps 10. Chapter 10: Monitoring and Troubleshooting Data Pipelines 11. Other Books You May Enjoy

Other Books You May Enjoy

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ETL with Azure Cookbook

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ISBN: 978-1-80020-331-0

  • Explore ETL and how it is different from ELT
  • Move and transform various data sources with Azure ETL and ELT services
  • Use SSIS 2019 with Azure HDInsight clusters
  • Discover how to query SQL Server 2019 Big Data Clusters hosted in Azure
  • Migrate SSIS solutions to Azure and solve key challenges associated with it
  • Understand why data profiling is crucial and how to implement it in Azure Databricks
  • Get to grips with BIML and learn how it applies to SSIS and Azure Data Factory solutions

Mastering Azure Machine Learning

Christoph Körner, Kaijisse Waaijer

ISBN: 978-1-78980-755-4

  • Setup your Azure Machine Learning workspace for data experimentation and visualization
  • Perform ETL, data preparation, and feature extraction...
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