SQL Server as a Source
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SQL Server as a Source

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Article summary

SQL Server or MSSQL, short for Microsoft SQL Server, is a relational database management system developed by Microsoft. It provides a comprehensive platform for storing, managing, and querying structured data using SQL, serving various applications and industries with its robust features and capabilities.

Authorize Connection to SQL Server

To authorize the connection to your SQL Server, please follow the authorization guide on our SQL Server as a destination article.

How to Create an SQL Server Data Source

  1. Under the Sources tab, click on the Create Source button and select the connector from the list.
  2. From the drop-down menu, choose your account.
    Didn't find your account?

    Click on Add new Account at the bottom of the drop-down and follow the on-screen prompts. You can also go to the Authorizers tab and click on Add New Service.

  3. Name your data source and SELECT your columns.
  4. [Optional] Configure your advanced settings (for more information please refer to the section on Advanced Settings). If you are unsure about how to proceed, we recommend skipping this step.
  5. Configure your snapshotting preferences. Choose your sync frequency or the exact synchronization time under Show advanced settings.

    If you need to load historical data, please refer to our article on data backfilling.

  6. Preview your data by clicking on the Test Data button in the top right corner. You can adjust the date range for a more specific time frame.
  7. Click on Save and congratulations, your new data source is ready!


Columns with Unsupported Data Types

If your original table contains columns with an unsupported data type, e.g. binary you will be unable to select these columns for data extraction.
To solve this issue, you can use CAST to change your data type to a supported one through a custom statement.

    CAST(columnname AS int) AS new_columnname,

Data Preview Unavailable

No data preview when you click on Test Data might be caused by an issue with your source configuration. The most common causes are:

  • Date range: Try a smaller date range. You can load the rest of your data afterward using manual data load.
  • Insufficient permissions: Please make sure your authorized account has at least admin-level permissions.
  • Invalid metrics, attributes, or breakdowns: You may not have any data for the selected metrics, attributes, or breakdowns.
  • Incompatible combination of metrics, attributes, or breakdowns: Your selected combination cannot be queried together. Please refer to the service's documentation to view a full list of metrics that can be included in the same data source.

Related Articles

Now that you have successfully created a data source, see how you can connect your data to a dashboarding app or a data storage.

Sending Data to Dashboarding Apps

Sending Data to Data Storages

Other Resources

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