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Labs

Ingest Data Using an Azure Synapse Pipeline

In this hands-on lab, you will learn to create an SQL DB and Synapse Workspace. In the Synapse Workspace, you will learn to create a multi-step pipeline that will copy data from your SQL DB and move it to a data lake. You will also learn how to create activity dependencies.

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Lab platform
Lab Info
Level
Intermediate
Last updated
Sep 23, 2025
Duration
30m

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Table of Contents
  1. Challenge

    Create the Resources Needed for the Lab
    1. Create a Synapse Analytics workspace:

      • in West US region
      • Create a new Azure Data Lake Storage Gen2
      • Utilize an SQL Server admin login
    2. Create an SQL Database instance and server:

      • All in West US region
      • Basic tier
      • Make sure to choose sample data as the data source
  2. Challenge

    Create the Linked Service and Datasets

    In Azure Synapse Analytics:

    1. Create a linked service for your Azure SQL Database.
    2. Create a dataset for the customer table in your Azure SQL Database.
    3. Create a dataset for the sales order detail table in your Azure SQL Database.
    4. Create a linked service for your Azure Blob Storage customer container.
    5. Create a dataset for your Azure Blob Storage target folder.
  3. Challenge

    Create the Data Pipeline
    1. Two ingestion activities (one for each dataset). Source and sink will be completed in the next objective.
    2. Make sure that one only kicks off upon success of the other.
    3. On failure of either activity, make sure to create a Get MetaData activity using a new created database.
      • Save to Customer table in SQL DB.
      • For fields, capture column count only.
  4. Challenge

    Create a Failure Alert and Run the Pipeline

    Run the completed pipeline.

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