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The CData JDBC Driver for Access enables access to live data from data pipelines. Pentaho Data Integration is an Extraction, Transformation, and Loading (ETL) engine that data, cleanses the data, and stores data using a uniform format that is accessible.This article shows how to connect to Access data as a JDBC data source and build jobs and transformations based on Access data in Pentaho Data Integration.
To connect, set the DataSource property to the path to the Access database.
For assistance in constructing the JDBC URL, use the connection string designer built into the Access JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.access.jar
Fill in the connection properties and copy the connection string to the clipboard.
π Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)When you configure the JDBC URL, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.
Below is a typical JDBC URL:
jdbc:access:DataSource=C:/MyDB.accdb;
Save your connection string for use in Pentaho Data Integration.
Open Pentaho Data Integration and select "Database Connection" to configure a connection to the CData JDBC Driver for Access
jdbc:access:DataSource=C:/MyDB.accdb;
Once the connection to Access is configured using the CData JDBC Driver, you are ready to create a new transformation or job.
At this point, you can continue your transformation or jb by selecting a suitable destination and adding any transformations to modify, filter, or otherwise alter the data during replication.
π A completed transformation/job.Download a free, 30-day trial of the CData JDBC Driver for Access and start working with your live Access data in Pentaho Data Integration today.
Download a free trial of the Access Driver to get started:
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π Access IconRapidly create and deploy powerful Java applications that integrate with Microsoft Access databases.