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Update Oracle Data with a Microsoft Access Linked Table

Update Oracle data by creating a linked table in Microsoft Access with the CData Oracle 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 Oracle, you can update live Oracle data in Microsoft Access; for example, you can make updates that can be immediately seen by other users.

Connect to Oracle 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 Oracle, you'll first need to update your PATH variable and ensure it contains a folder location that includes the native DLLs. The native DLLs can be found in the lib folder inside the installation directory. Once you've done this, set the following to connect:

  • Port: The port used to connect to the server hosting the Oracle database.
  • User: The user Id provided for authentication with the Oracle database.
  • Password: The password provided for authentication with the Oracle database.
  • Service Name: The service name of the Oracle database.

Create a Linked Table to Customers Data

Follow the steps below to create a linked table, which enables you to access live Customers 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 Customers table.
  3. Select the CData Oracle data source from the Machine Data Source tab.

  4. Select the Customers 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.