Moving and Transforming Data with Azure Data Factory

1 hour
  • 3 Learning Objectives

About this Hands-on Lab

In this hands-on lab scenario you are a data engineer for Awesome Company. They would like to move some sales data from one Azure SQL database to another for archiving and analysis. You have been tasked with creating an Azure Data Factory pipeline to accomplish this task and to perform data transformations along the way. Performing the actions of this hands-on lab will help you become familiar with using Azure Data Factory to perform data migration and transformation.

Learning Objectives

Successfully complete this lab by achieving the following learning objectives:

Create a Destination Table for the Archived Data
  1. Create a table in the acweb_arch database for the data to be sent to. Feel free to create one according to your own specifications, or copy and paste the code provided in the lab guide.
Create a Pipeline to Move the Data
  1. Create a pipeline that moves data from the production Azure SQL database (acweb) to the archive one (acweb_arch).
Convert the Date Columns
  1. The requesting team has specified that exact timestamps are not wanted in the archive environment because their analysis is only granular down to the day. Within your pipeline, perform a conversion for any columns of the datetime type so that only the day, month, and year are retained.

Additional Resources

In this hands-on lab scenario you are a data engineer for Awesome Company. They would like to move some sales data from one Azure SQL database to another for archiving and analysis. You have been tasked with creating an Azure Data Factory pipeline to accomplish this task and to perform data transformations along the way.

To accomplish your goal, the following should be completed:

  • Create a destination table for the archived data.
  • Create a pipeline to move the data.
  • Convert the date columns to only include the day, month, and year.

What are Hands-on Labs

Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.

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