- Lab
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Libraries: If you want this lab, consider one of these libraries.
- Cloud
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Developing a Batch Processing Solution with Azure Services
In this hands-on lab scenario you are a data engineer for Awesome Company. You have been tasked with creating a batch processing solution in Azure that will analyze crowdsourced weather information. You have previously provisioned an Azure Data Lake Storage Gen2 account and containers for holding the uploaded files. Now you need to continue building upon that in order to analyze the data on a nightly basis. Performing the actions of this hands-on lab will help you become familiar with building a complete batch processing solution using Azure services.

Lab Info
Table of Contents
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Challenge
Prepare the Environment for Loading
- Upload files from GitHub to be processed.
- Configure the SQL Pool firewall to allow both your client IP address and other Azure services to connect.
- Create a table on the SQL Pool to hold the copied records for analysis.
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Challenge
Copy the Weather Data Using Azure Data Factory
- Build a pipeline in Azure Data Factory to copy the weather data file records from the Azure Data Lake Storage Gen2 containers into Synapse Analytics.
- Along with data from the files, add extra columns for both the file path and the date processed.
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Challenge
Delete the Weather Files
- Once the data has been copied, completely remove all files from the containers.
About the author
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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