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Developing a Stream 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 stream processing solution in Azure that will analyze crowdsourced weather information and provide running averages. Previously, you have provisioned an Azure Data Lake Storage Gen2 account to hold the uploaded files, and now you need to configure the appropriate Azure services to both view and store the average temperatures per country in near-real time. Performing the actions of this hands-on lab will help you become familiar with building a complete stream processing solution using Azure services.

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Lab platform
Lab Info
Level
Intermediate
Last updated
Sep 17, 2025
Duration
1h 0m

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Table of Contents
  1. Challenge

    Simulate Data Uploads

    Use Azure Cloud Shell within the Azure portal to run the file creation simulator located on GitHub.

  2. Challenge

    Process Streaming Data with Azure Stream Analytics

    Configure an Azure Stream Analytics job to obtain the average temperatures of each country across a three-minute tumbling window. Have the output stored in an Azure Cosmos DB database.

  3. Challenge

    Verify the Data

    Query the Azure Cosmos DB database to make sure the correct information is being stored.

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