Developing a Pipeline in Azure Data Factory

1 hour
  • 5 Learning Objectives

About this Hands-on Lab

Azure Data Factory is a core service for any Azure cloud project. It is an orchestration service responsible for the movement and automation of data into and throughout the Azure cloud. In this lab, we will learn how to connect data sources and create a data pipeline that will move data in Azure. In this scenario, you work for a company selling various items online all around the United States. You have been asked to research a way to combine sales data with other data sources, such as parking lot information to highlight potential new brick-and-mortar stores. In order to do this, you are going to provide a presentation on leveraging cloud services (specifically Data Factory) to automate this research.

Learning Objectives

Successfully complete this lab by achieving the following learning objectives:

Prepare the Environment

Provision the following:

  • A Data Factory instance
    • West US 2 region, V2, configure Git later
  • SQL databases
    • Create a server in East US
    • Ensure it’s set to 5 (Basic) DTUs at 2 GB
  • A storage account
    • West US 2, Standard Performance, Storage V2, RA-GRS
    • Create 2 containers (raw, curated)
Create and Connect Datasets

Connect the SQL database (SalesLT.Address table) and storage account from the previous step. Then, download and add a CSV to the blob storage account for later use (https://opendata.hawaii.gov/dataset/oahu-state-public-parking-lots/resource/2c1446fc-caef-4eab-b641-35d2ea0c41eb).

Create the Copy Steps of Our Pipeline

Create a copy step to pull the SalesLT.Address data from the SQL database that will output to the storage account blob container. Then, validate and execute this pipeline.

Use Data Flow to Combine Data from our Copied File and CSV File

Use Data Flow to add data from the newly copied file to the CSV file. This new data will then be output to a new blob file in the curated container.

Publish the Pipeline

Publish the completed pipeline.

Additional Resources

This lab will be performed completely using the GUI. No coding is required. You will gain the skills to understand how to ingest data into the Azure cloud, work with the data in Azure, and create a simple pipeline to move data in the environment.


To get started, log in to the Azure portal using the credentials provided.

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