Microsoft Azure is a public cloud vendor. It offers different services for modern organization The Azure cloud has several key components, such as compute, storage, databases, and networks.

They serve as building blocks for any organization that wants to reap the benefits of cloud com-

puting. There are many benefits to using the cloud, including utilities, metrics, elasticity, and

security. Many organizations across the world already benefit from cloud deployment and have

fully moved to the Azure cloud. They deploy business applications and run their business on the

cloud. As a result, their data is stored in cloud storage and cloud applications.

Microsoft Azure offers a cloud analytics stack that helps us to build modern analytics solutions,

extract data from on-premises and the cloud, and use data for decision-making progress, searching

patterns in data, and deploying machine learning applications.

In this chapter, we will meet Azure data platform services and the main cloud data integration

service – Azure Data Factory (ADF). We will log in to Azure and navigate to the Data Factory

service in order to create the first data pipeline and run the copy activity. Then, we will do the

same exercise but will use different methods of data factory management and control by using

Python, PowerShell, and the Copy Data tool.

If you don’t have an Azure account, we will cover how