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Labs

Partition Data in Azure Data Lake Storage Gen2

In this hands-on lab, you work for Bethany's Pie Shop, because really, who doesn't love pie? Bethany is in the process of migrating their infrastructure from multiple disparate data sources into an Azure Data Lake. You will be creating an Azure Data Lake, configuring the folder structure to support a medallion architecture utilizing file partitioning best practices, and creating a data pipeline to move data between folders.

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Lab platform
Lab Info
Level
Intermediate
Last updated
Sep 23, 2025
Duration
1h 0m

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Table of Contents
  1. Challenge

    Prepare the Environment
    1. Create a Synapse Analytics instance in the West US region. It should utilize a new Data Lake Storage Gen 2 account.

    2. Create a SQL database instance and server in the West US region. It should utilize DTU-Based Basic Tier Compute. Make sure to choose Sample Data as the Data Source.

  2. Challenge

    Create the Medallion Architecture
    1. For the storage account, in Settings, Configuration.enable Allow Blob anonymous access.
    2. Create a Bronze Layer Container.
      1. Create folders for the ingestion sources Support and Marketing.
    3. Create a Silver Layer Container.
    4. Create a Gold Layer Container.
  3. Challenge

    Create Bronze Files
    1. Create a Data Factory pipeline and populate the bronze folder with a SalesLT.Customer table in Parquet format. This table should go to the Marketing folder and be named bronze_hr_03_20_2024.
    2. Create a Data Factory pipeline and populate the bronze folder with a SalesLT.Address table in Parquet format. This table should go to the Support folder and be named bronze_support_03_20_2024.
    3. Run the pipeline.
  4. Challenge

    Create Gold File
    1. Create a Data Factory pipeline to move both files from bronze and combine them as a single folder in gold (For the sake of brevity, we are bypassing the silver step).
    2. Once complete, go back to the storage account to verify there are now files in the correct folders.
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