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Move data from Azure SQL DB into Lakehouse via copy assistant

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This tutorial describes the steps to move data into Lakehouse.

Two approaches are provided using the copy assistant:

  1. The first approach moves source data into destination tables with delta format.
  2. The second approach moves source data into destination files.

Prerequisites

To get started, you must complete the following prerequisites:

  • A tenant account with an active subscription. Create an account for free.
  • A workspace is created.
  • A Lakehouse is created in your workspace.

Move files into Lakehouse as tables in delta format via copy assistant

Follow these steps to set up your copy activity.

Step 1: Start with copy assistant

  1. Open an existing data pipeline or create a new data pipeline.

  2. Select Copy data assistant on the canvas to open the wizard and get started. Or select Use copy assistant from the Copy data drop down list under Activities tab on the ribbon.

    Screenshot showing the two places you can access the copy assistant.

Step 2: Configure your source

  1. Choose your data source by choosing a data source type. In this tutorial, we'll use Azure SQL Database as an example. Search on the Choose data source screen to find and select Azure SQL Database.

    Screenshot showing where to choose your data source in the Copy data screen.

  2. Create a connection to your data source by filling in the required connection information on the panel.

    Screenshot showing where to select New connection.

    After you fill in the required connection information on the panel, select Next.

    If you didn't already select a database initially, a list of databases is presented for you to select from.

    Screenshot showing where to refresh your connection information.

  3. Select the table(s) that is to be moved. Then, select Next.

    Screenshot showing where to select the tables.

Step 3: Configure your destination

  1. Choose Lakehouse as your destination and then select Next.

    Screenshot showing where to select your copy destination.

    Enter a Lakehouse name, then select Create and connect.

    Screenshot showing where to select the data store.

  2. Configure and map your source data to the destination Lakehouse table. Select Tables for the Root folder and Load to a new table for Load settings. Provide a Table name and select Next.

    Screenshot of where to select your table destination.

  3. Review your configuration, and uncheck the Start data transfer immediately checkbox. Then select Next to finish the assistant experience.

    Screenshot showing where to select ok on the Review and create screen.

Step 4: Save your data pipeline and run it to load data

  1. Select Run from the Home toolbar and then select Save and run when prompted.

    Screenshot showing where to select Run from the Home tab of the pipeline editor window.

  2. For each activity that was run, you can select the activity's corresponding link in the Output tab after the pipeline runs to view the details the activity. In this case we have 2 individual copy activities that ran - one for each table copied from SQL Azure to the Lakehouse. When you select the activity's details link, you can see how mmuch data was read and written and how much space the data consumed in the source and destination, as well as throughput speed and other details.

    Screenshot showing where to select the glasses icon and the resulting detail screen.

Step 5: View your tables from Lakehouse

  1. Go to your Lakehouse and refresh your Lake view to see the latest data ingested.

  2. Switch to Table view to view the data in table.

    Screenshot showing where to switch to Table view.

    Note

    Currently data lands into Lakehouse Tables folders (a managed area) in Delta format only. Those files will be automatically registered as a table and be visible under Table view from Lakehouse portal. Only the first layer folders under Tables will be registered as delta table. Browsing or Previewing from Lakehouse Table isn't supported yet. Data that gets loaded into the same table will be appended. Delete or Update to tables isn't supported yet.

Related content

This sample shows you how to move data from Azure SQL DB into Lakehouse with the Copy Assistant in Data Factory for Microsoft Fabric. You learned how to:

  • Move files into Lakehouse as tables in delta format with the Copy Assistant.

Next, advance to learn more about monitoring your pipeline runs.

How to monitor pipeline runs in Microsoft Fabric