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Update Snowflake Data with a Microsoft Access Linked Table

Update Snowflake data by creating a linked table in Microsoft Access with the CData Snowflake ODBC Driver.

CData ODBC drivers connect your data to any database management tool that supports Open Database Connectivity (ODBC). This includes many of the most popular productivity tools, adding new capabilities for document sharing and collaboration. Using the CData ODBC driver for Snowflake, you can update live Snowflake data in Microsoft Access; for example, you can make updates that can be immediately seen by other users.

Connect to Snowflake as an ODBC Data Source

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

To connect to Snowflake:

  1. Set User and Password to your Snowflake credentials and set the AuthScheme property to PASSWORD or OKTA.
  2. Set URL to the URL of the Snowflake instance (i.e.: https://myaccount.snowflakecomputing.com).
  3. Set Warehouse to the Snowflake warehouse.
  4. (Optional) Set Account to your Snowflake account if your URL does not conform to the format above.
  5. (Optional) Set Database and Schema to restrict the tables and views exposed.

See the Getting Started guide in the CData driver documentation for more information.

Create a Linked Table to Products Data

Follow the steps below to create a linked table, which enables you to access live Products data.

  1. On the External Data tab in Access, click ODBC Database.
  2. Select the option to link to the data source. A linked table will enable you to read from and write data to the Products table.
  3. Select the CData Snowflake data source from the Machine Data Source tab.

  4. Select the Products table. For more information on this table, see the "Data Model" chapter in the help documentation.
  5. Double-click the linked table to make edits. The linked table will always have up-to-date data and any changes will be reflected back to the underlying table.