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Export to SQL Server Using Data Factory

Overview 

This document provides step-by-step instructions for setting up a data pipeline in Microsoft Fabric to transfer data from Delta Share to a SQL warehouse. This configuration enables seamless data integration between Delta Lake sources and SQL destinations.

Prerequisites

  • Active Microsoft Fabric account with appropriate permissions.
  • Delta Share credentials.
  • SQL warehouse credentials.
  • Access to Data Flow Gen2 in Fabric.

Steps

Access Data Flow Gen2

  1. Log in to your Microsoft Fabric account.
  2. Navigate to the workspace.
  3. Select 'Data Flow Gen2' from the available options.

Configure Data Source

  1. Click on 'Data from another source' to begin the configuration.
  2. From the Get Data screen do the following:
    • Locate the search bar labeled 'Choose data source'.
    • Type 'delta sharing' in the search field.
    • Select Delta Sharing from the results.

Set Up Delta Share Connection

  1. Enter your Delta Share credentials when prompted.
    • Ensure all required fields are completed accurately.
    • Validate the connection if possible.
  2. Click 'Next' to proceed.
  3. Review the list of available tables:
    • All tables you have access to will be displayed.
    • Select the desired tables for transfer.

Configure Data Destination

  1. Click 'Add Data Destination'.
  2. Select 'SQL warehouse' as your destination.
  3. Enter SQL credentials:
    • Server details.
    • Authentication information.
    • Database specifications.
    • Verify the connection settings.

Finalize and Deploy

  1. Review all configurations.
  2. Click 'Publish' to deploy the data flow.
  3. Wait for the confirmation message.

Verification

  1. Access your SQL warehouse.
  2. Verify that the data is available and properly structured.
  3. Run test queries to ensure data integrity.

Troubleshooting

Common issues and solutions:

  • Connection failures: Verify credentials and network connectivity.
  • Missing tables: Check Delta Share permissions.
  • Performance issues: Review resource allocation and optimization settings.