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Azure Data Engineering Cookbook

You're reading from   Azure Data Engineering Cookbook Get well versed in various data engineering techniques in Azure using this recipe-based guide

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Product type Paperback
Published in Sep 2022
Publisher Packt
ISBN-13 9781803246789
Length 608 pages
Edition 2nd Edition
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Authors (3):
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Ahmad Osama Ahmad Osama
Author Profile Icon Ahmad Osama
Ahmad Osama
Nagaraj Venkatesan Nagaraj Venkatesan
Author Profile Icon Nagaraj Venkatesan
Nagaraj Venkatesan
Luca Zanna Luca Zanna
Author Profile Icon Luca Zanna
Luca Zanna
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Toc

Table of Contents (16) Chapters Close

Preface 1. Chapter 1: Creating and Managing Data in Azure Data Lake 2. Chapter 2: Securing and Monitoring Data in Azure Data Lake FREE CHAPTER 3. Chapter 3: Building Data Ingestion Pipelines Using Azure Data Factory 4. Chapter 4: Azure Data Factory Integration Runtime 5. Chapter 5: Configuring and Securing Azure SQL Database 6. Chapter 6: Implementing High Availability and Monitoring in Azure SQL Database 7. Chapter 7: Processing Data Using Azure Databricks 8. Chapter 8: Processing Data Using Azure Synapse Analytics 9. Chapter 9: Transforming Data Using Azure Synapse Dataflows 10. Chapter 10: Building the Serving Layer in Azure Synapse SQL Pool 11. Chapter 11: Monitoring Synapse SQL and Spark Pools 12. Chapter 12: Optimizing and Maintaining Synapse SQL and Spark Pools 13. Chapter 13: Monitoring and Maintaining Azure Data Engineering Pipelines 14. Index 15. Other Books You May Enjoy

Copying data from a SQL Server virtual machine to a data lake using the Copy data wizard

A common scenario in data engineering projects is where you need to ingest data from a relational database engine such as SQL Server, Oracle, or MySQL to a data lake. This recipe will show you how to ingest data from SQL Server, which has been installed in an Azure VM, to an Azure Data Lake. This method will work in on-premises SQL Server to Azure Data Lake instances too, but you will need to install an integration runtime. This will be covered in the next chapter. In this recipe, we will focus on copying data from SQL Server in an Azure VM to a data lake. We will be using the user-friendly Copy data wizard to transfer the data.

Getting ready

Follow these steps:

  1. Provision Azure Data Factory, as explained in the Provisioning Azure Data Factory recipe.
  2. Log in to Azure PowerShell using the Connect-AzAccount command and provision the blob storage account and container, as shown in...
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