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Azure Data Engineering Cookbook

You're reading from   Azure Data Engineering Cookbook Design and implement batch and streaming analytics using Azure Cloud Services

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Product type Paperback
Published in Apr 2021
Publisher Packt
ISBN-13 9781800206557
Length 454 pages
Edition 1st Edition
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Authors (2):
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Nagaraj Venkatesan Nagaraj Venkatesan
Author Profile Icon Nagaraj Venkatesan
Nagaraj Venkatesan
Ahmad Osama Ahmad Osama
Author Profile Icon Ahmad Osama
Ahmad Osama
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Toc

Table of Contents (11) Chapters Close

Preface 1. Chapter 1: Working with Azure Blob Storage 2. Chapter 2: Working with Relational Databases in Azure FREE CHAPTER 3. Chapter 3: Analyzing Data with Azure Synapse Analytics 4. Chapter 4: Control Flow Activities in Azure Data Factory 5. Chapter 5: Control Flow Transformation and the Copy Data Activity in Azure Data Factory 6. Chapter 6: Data Flows in Azure Data Factory 7. Chapter 7: Azure Data Factory Integration Runtime 8. Chapter 8: Deploying Azure Data Factory Pipelines 9. Chapter 9: Batch and Streaming Data Processing with Azure Databricks 10. Other Books You May Enjoy

Chapter 5: Control Flow Transformation and the Copy Data Activity in Azure Data Factory

In this chapter, we'll look at the transformation activities available in Azure Data Factory control flows. Transformation activities allow us to perform data transformation within the pipeline before loading data at the source.

In this chapter, we'll cover the following recipes:

  • Implementing HDInsight Hive and Pig activities
  • Implementing an Azure Functions activity
  • Implementing a Data Lake Analytics U-SQL activity
  • Copying data from Azure Data Lake Gen2 to an Azure Synapse SQL pool using the copy activity
  • Copying data from Azure Data Lake Gen2 to Azure Cosmos DB using the copy activity
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