Publish Sage 300-Connected Dashboards in Tableau Server

Tableau Server is a visual analytics platform transforming the way businesses use data to solve problems. When paired with the CData JDBC Driver for Sage 300, you get access to live Sage 300 data within Tableau Server. This article shows how to connect to Sage 300 in Tableau Desktop, publish a Data Source to Tableau Server, and build a simple chart from that data.

The CData JDBC Driver enables high-speed access to live Sage 300 data in Tableau Server. Once you install the driver, you simply authenticate with Sage 300 and you can immediately start building responsive, dynamic visualizations and dashboards. By surfacing Sage 300 data using native Tableau data types and handling complex filters, aggregations, & other operations automatically, CData JDBC Driver grants seamless access to Sage 300 data.

Enable Connectivity to Sage 300 in Tableau Server

Start by installing the CData JDBC Driver on the machine hosting Tableau Server.

If your server is a Linux Machine:

1. Copy cdata.jdbc.sage300.jar and cdata.tableau.sage300.lic.
2. Place the copies in the Tableau Server Connectors folder (/opt/tableau/tableau_driver/jdbc).
3. Restart Tableau Server.

If your server is a Windows Machine:

1. Copy cdata.jdbc.sage300.jar and cdata.tableau.sage300.lic.
2. Place the copy in the Tableau Server drivers directory (C:\ Program Files\Tableau\Drivers).
3. Restart Tableau Server.

Next, install the CData JDBC Driver on the machine running Tableau Desktop. Before starting Tableau on Windows, make sure that you have placed the .jar file in the C:\Program Files\Tableau\Drivers folder. Before starting Tableau on macOS, make sure that you have placed the .jar file in the ~/Library/Tableau/Drivers folder.

Connect to Sage 300 in Tableau Desktop

Once the driver is installed on the Server machine, we can configure a connection to Sage 300 in Tableau Desktop and publish a Sage 300-based Data Source to Tableau Server.

1. Open Tableau Desktop.
2. Click More under Connect -> To a Server.
3. Select "Other Databases (JDBC)".
4. Configure the connection to the data. The driver comes with a connection string builder that streamlines creating and managing the content of connection strings. Note that you will need to manually add "jdbc:sage300" to the beginning of the connection string.
5. Click "Sign In".

Sage 300 requires some initial setup in order to communicate over the Sage 300 Web API.

• Set up the security groups for the Sage 300 user. Give the Sage 300 user access to the option under Security Groups (per each module required).
• Edit both web.config files in the /Online/Web and /Online/WebApi folders; change the key AllowWebApiAccessForAdmin to true. Restart the webAPI app-pool for the settings to take.
• Once the user access is configured, click https://server/Sage300WebApi/ to ensure access to the web API.

Authenticate to Sage 300 using Basic authentication.

Connect Using Basic Authentication

You must provide values for the following properties to successfully authenticate to Sage 300. Note that the provider reuses the session opened by Sage 300 using cookies. This means that your credentials are used only on the first request to open the session. After that, cookies returned from Sage 300 are used for authentication.

• Url: Set this to the url of the server hosting Sage 300. Construct a URL for the Sage 300 Web API as follows: {protocol}://{host-application-path}/v{version}/{tenant}/ For example, http://localhost/Sage300WebApi/v1.0/-/.
• User: Set this to the username of your account.
• Password: Set this to the password of your account.

Discover Schemas and Query Data

Once you establish the connection to Sage 300 data, you can configure which entities to visualize.

1. Select CData from the Database pull-down menu.
2. Select Sage300 from the Schema pull-down menu.
3. Drag the tables and views you wish to visualize onto the join area. You can include multiple tables.
4. Select Update Now or Automatically Update. Update Now lets you preview the first 10,000 rows of the data source (or enter the number of rows you want to see in the Rows text box). Automatically Update auto-loads the changes in the preview area.

Publish Data to Tableau Server

After you configure the data you wish to visualize, you can publish the Data Source to a Tableau Server instance. In Tableau Desktop:

1. Click Server -> Sign In.
2. Enter the URL for your Tableau Server.
3. Authenticate with Tableau Server credentials.
4. Click Server -> Publish Data Source and select your data source.
5. Click Publish.
6. Select the Project, name the Data Source, and optionally add a description.
7. Click Publish.

This creates a new entry under the server's data source list, from which you an change the data source's permissions, view its history, and perform other management tasks.

Note that workstation connected to the same server will be able to use the same source in Tableau Desktop, even if the driver isn't installed there. Also, workbooks created directly on Tableau Server (via the web interface) can use this source.

Visualize Sage 300 Data in Tableau Server

With the Data Source published to Tableau Server, you are ready to visualize Sage 300 data.

1. Login to your Tableau Server instance.
2. Connect to the remote source using the Search for Data -> Tableau Server in the Connect sidebar.
3. Click the published Data Source.
4. Click New Workbook.
5. In the workbook, Sage 300 fields are listed as Dimensions and Measures, depending on the data type. The CData JDBC Driver discovers data types automatically, allowing you to leverage the powerful data processing and visualization features of Tableau.
6. Drag a field from the Dimensions or Measures area to Rows or Columns. Tableau creates column or row headers.
7. Select one of the chart types from the Show Me tab. Tableau displays the chart type that you selected.

Using the CData JDBC Driver for Sage 300 with Tableau Server, you can easily create robust visualizations and reports on Sage 300 data. Download a free, 30-day trial and get started today.