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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.

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Path Info

Level
Clock icon Intermediate
Duration
Clock icon 1h 0m
Published
Clock icon Jun 04, 2021

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Table of Contents

  1. Challenge

    Prepare the Environment for Loading

    1. Upload files from GitHub to be processed.
    2. Configure the SQL Pool firewall to allow both your client IP address and other Azure services to connect.
    3. Create a table on the SQL Pool to hold the copied records for analysis.

  2. Challenge

    Copy the Weather Data Using Azure Data Factory

    1. 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.
    2. Along with data from the files, add extra columns for both the file path and the date processed.

  3. Challenge

    Delete the Weather Files

    1. Once the data has been copied, completely remove all files from the containers.
A Cloud Guru - Labs - Developing a Batch Processing Solution with Azure Services
Author
A Cloud Guru

The Cloud Content team comprises subject matter experts hyper focused on services offered by the leading cloud vendors (AWS, GCP, and Azure), as well as cloud-related technologies such as Linux and DevOps. The team is thrilled to share their knowledge to help you build modern tech solutions from the ground up, secure and optimize your environments, and so much more!

What's a lab?

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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