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

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 ADP, you can update live ADP data in Microsoft Access; for example, you can make updates that can be immediately seen by other users.

Connect to ADP 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.

Connect to ADP by specifying the following properties:

• SSLClientCert: Set this to the certificate provided during registration.
• SSLClientCertPassword: Set this to the password of the certificate.
• UseUAT: The connector makes requests to the production environment by default. If using a developer account, set UseUAT = true.
• RowScanDepth: The maximum number of rows to scan for the custom fields columns available in the table. The default value will be set to 100. Setting a high value may decrease performance.

Create a Linked Table to Workers Data

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

CData Software is a leading provider of data access and connectivity solutions. Our standards-based connectors streamline data access and insulate customers from the complexities of integrating with on-premise or cloud databases, SaaS, APIs, NoSQL, and Big Data.

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