Build Harvest Visualizations in Tableau Desktop

Tableau is a visual analytics platform transforming the way businesses use data to solve problems. When paired with CData Connect AI, you get instant, cloud-to-cloud access to Harvest data for visualizations, dashboards, and more. This article shows how to connect to Harvest and build visualizations from Harvest data in Tableau.

CData Connect AI provides a pure SQL Server, cloud-to-cloud interface for Harvest, allowing you to easily build visualizations from live Harvest data in Tableau without installing connectors. As you build visualizations, Tableau generates SQL queries to gather data. Using optimized data processing out of the box, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc) directly to Harvest, leveraging server-side processing to quickly return Harvest data.

Configure Harvest Connectivity for Tableau

Connectivity to Harvest from Tableau is made possible through CData Connect AI. To work with Harvest data from Tableau, we start by creating and configuring a Harvest connection.

1. Log into Connect AI, click Sources, and then click Add Connection

2. Select "Harvest" from the Add Connection panel

3. Enter the necessary authentication properties to connect to Harvest.

   Start by setting the Profile connection property to the location of the Harvest Profile on disk (e.g. C:\profiles\Harvest.apip). Next, set the ProfileSettings connection property to the connection string for Harvest (see below).

   Harvest API Profile Settings

   To authenticate to Harvest, you can use either Token authentication or the OAuth standard. Use Basic authentication to connect to your own data. Use OAuth to allow other users to connect to their data.

   Using Token Authentication

   To use Token Authentication, set the APIKey to your Harvest Personal Access Token in the ProfileSettings connection property. In addition to APIKey, set your AccountId in ProfileSettings to connect.

   Using OAuth Authentication

   First, register an OAuth2 application with Harvest. The application can be created from the "Developers" section of Harvest ID.

   After setting the following connection properties, you are ready to connect:

   • ProfileSettings: Set your AccountId in ProfileSettings.
   • AuthScheme: Set this to OAuth.
   • OAuthClientId: Set this to the client ID that you specified in your app settings.
   • OAuthClientSecret: Set this to the client secret that you specified in your app settings.
   • CallbackURL: Set this to the Redirect URI that you specified in your app settings.
   • InitiateOAuth: Set this to GETANDREFRESH. You can use InitiateOAuth to manage how the driver obtains and refreshes the OAuthAccessToken.
   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add Harvest Connection page and update the User-based permissions.

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
2. On the Settings page, go to the Personal Access Tokens section and click Create PAT.
3. Give the PAT a name and click Create.
4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to Harvest data from Tableau.

Visualize Live Harvest Data in Tableau

To establish a connection from Tableau Desktop to the CData Connect AI Virtual SQL Server, follow these steps.

1. In Tableau Desktop, open a new book. Under To a Server, select More, then Microsoft SQL Server.
2. Enter your credentials:
   • Server: enter the Virtual SQL Server endpoint and port separated by a comma: tds.cdata.com,14333
   • Database: enter the Connection Name of the CData Connect AI data source you want to connect to (for example, API1).
   • Authentication: select Use a specific username and password.
   • Username: enter your CData Connect AI username. This is displayed in the top-right corner of the CData Connect AI interface. For example, [email protected].
   • Password: enter the PAT you previously generated.
   • Require SSL: leave this selected.
   
3. Click Sign In.
4. Select the Database (Connect AI connection) you wish to work with and opt for a Live or Extract Connection type.
5. Select the table(s) you wish to visualize. If you select multiple tables, define the relationship between the tables using the appropriate columns.
6. Select the fields to visualize.

Real-Time Access to Harvest Data from Data Applications

At this point, you have a direct, cloud-to-cloud connection to live Harvest data from your Tableau workbook. You can create new visualizations, build dashboards, and more. For more information on gaining live access to data from more than 100 SaaS, Big Data, and NoSQL sources from applications like Tableau, refer to our Connect AI page.