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The Greenplum ODBC Driver is a powerful tool that allows you to connect with Greenplum, directly from any applications that support ODBC connectivity.

Access Greenplum databases from virtually anywhere through a standard ODBC Driver interface.

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How to Use a Microsoft Access Database to Update Greenplum Data in Real Time


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

Connect to Greenplum 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 Greenplum, set the Server, Port (the default port is 5432), and Database connection properties and set the User and Password you wish to use to authenticate to the server. If the Database property is not specified, the default database for the authenticate user is used.

Create a Linked Table to Orders Data

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

  3. Select the CData Greenplum data source from the Machine Data Source tab.

  4. Select the Orders 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.