Build Sage 50 UK-Connected ETL Processes in Google Data Fusion

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Sage 50 UK JDBC Driver

Complete read-write access to Sage 50 UK enables developers to search (Customers, Transactions, Invoices, Sales Receipts, etc.), update items, edit customers, and more, from any Java/J2EE application.



Load the CData JDBC Driver into Google Data Fusion and create ETL processes with access live Sage 50 UK data.

Google Data Fusion allows users to perform self-service data integration to consolidate disparate data. Uploading the CData JDBC Driver for Sage 50 UK enables users to access live Sage 50 UK data from within their Google Data Fusion pipelines. While the CData JDBC Driver enables piping Sage 50 UK data to any data source natively supported in Google Data Fusion, this article walks through piping data from Sage 50 UK to Google BigQuery,

Upload the CData JDBC Driver for Sage 50 UK to Google Data Fusion

Upload the CData JDBC Driver for Sage 50 UK to your Google Data Fusion instance to work with live Sage 50 UK data. Due to the naming restrictions for JDBC drivers in Google Data Fusion, create a copy or rename the JAR file to match the following format driver-version.jar. For example: cdatasage50uk-2020.jar

  1. Open your Google Data Fusion instance
  2. Click the to add an entity and upload a driver
  3. On the "Upload driver" tab, drag or browse to the renamed JAR file.
  4. On the "Driver configuration" tab:
    • Name: Create a name for the driver (cdata.jdbc.sage50uk) and make note of the name
    • Class name: Set the JDBC class name: (cdata.jdbc.sage50uk.Sage50UKDriver)
  5. Click "Finish"

Connect to Sage 50 UK Data in Google Data Fusion

With the JDBC Driver uploaded, you are ready to work with live Sage 50 UK data in Google Data Fusion Pipelines.

  1. Navigate to the Pipeline Studio to create a new Pipeline
  2. From the "Source" options, click "Database" to add a source for the JDBC Driver
  3. Click "Properties" on the Database source to edit the properties

    NOTE: To use the JDBC Driver in Google Data Fusion, you will need a license (full or trial) and a Runtime Key (RTK). For more information on obtaining this license (or a trial), contact our sales team.

    • Set the Label
    • Set Reference Name to a value for any future references (i.e.: cdata-sage50uk)
    • Set Plugin Type to "jdbc"
    • Set Connection String to the JDBC URL for Sage 50 UK. For example:

      jdbc:sage50uk:RTK=5246...;URL=http://your-server:5493/sdata/accounts50/GCRM/your-address;User=Manager;

      Note: Only Sage 50 UK 2012 and above are supported.

      The User and Password properties, under the Connection section, must be set to valid Sage 50 UK user credentials. These values will be the same used to log in to the Sage 50 UK software.

      Additionally, the URL property, under the Connection section, will need to be set to the address of the company dataset desired. To obtain the address, do the following:

      1. If you have not already done so, open the Sage 50 UK software.
      2. Click Tools -> Internet Options.
      3. Select the SData Settings tab.
      4. Click the Details button next to Sage 50 Accounts. A window is displayed containing a list of company names along with the address to their corresponding datasets.
      5. Set the URL property to the value in the address field next to the company desired.

      Built-in Connection String Designer

      For assistance in constructing the JDBC URL, use the connection string designer built into the Sage 50 UK JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

      java -jar cdata.jdbc.sage50uk.jar

      Fill in the connection properties and copy the connection string to the clipboard.

    • Set Import Query to a SQL query that will extract the data you want from Sage 50 UK, i.e.:
      SELECT * FROM TradingAccounts
  4. From the "Sink" tab, click to add a destination sink (we use Google BigQuery in this example)
  5. Click "Properties" on the BigQuery sink to edit the properties
    • Set the Label
    • Set Reference Name to a value like sage50uk-bigquery
    • Set Project ID to a specific Google BigQuery Project ID (or leave as the default, "auto-detect")
    • Set Dataset to a specific Google BigQuery dataset
    • Set Table to the name of the table you wish to insert Sage 50 UK data into

With the Source and Sink configured, you are ready to pipe Sage 50 UK data into Google BigQuery. Save and deploy the pipeline. When you run the pipeline, Google Data Fusion will request live data from Sage 50 UK and import it into Google BigQuery.

While this is a simple pipeline, you can create more complex Sage 50 UK pipelines with transforms, analytics, conditions, and more. Download a free, 30-day trial of the CData JDBC Driver for Sage 50 UK and start working with your live Sage 50 UK data in Google Data Fusion today.