- Lab
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Libraries: If you want this lab, consider one of these libraries.
- Cloud
- Data
Moving and Transforming Data with Azure Data Factory
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 migrations and transformations.
Lab Info
Table of Contents
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Challenge
Create a Destination Table for the Archived Data
Create a table in the acweb_arch database for the data to be sent to. If you want to choose your own source and destination tables, feel free to create one according to your own specifications. Otherwise, copy and paste the code provided in the lab guide.
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Challenge
Create a Pipeline to Move the Data
Create a pipeline that moves data from a table in the production Azure SQL database (acweb) to the archive table you created in the destination database (acweb_arch).
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Challenge
Convert the Date Columns
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.
Real skill practice before real-world application
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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