Build Harvest Visualizations in Tableau Cloud

Tableau Cloud is an analytics platform fully hosted in the cloud. 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 Cloud.

CData Connect AI provides a pure cloud-to-cloud interface for Harvest, allowing you to easily build visualizations from live Harvest data in Tableau Cloud without installing connectors or publishing worksheets and data sources from Tableau Desktop. As you build visualizations, Tableau Cloud 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 Cloud

To work with Harvest data from Tableau Cloud, we need to connect to Harvest from Connect AI, provide user access to the connection, and create a Virtual Schema for the Harvest data.

Connect to Harvest from Connect AI

CData Connect AI uses a straightforward, point-and-click interface to connect to data sources.

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.

Configure Harvest Endpoints for Tableau Cloud

After connecting to Harvest, create a virtual schema for your desired table(s).

1. Navigate to the Virtual Schemas page and click Add to create a new Virtual Schema (enter a Virtual Schema Name and click Confirm), or select an existing one.
2. Click Add to open the Add Asset dialog and add new assets to the Virtual Schema.
3. Select the Harvest connection (e.g. API1) and click Next.
4. Select the table(s) you wish to work with and click Confirm.
5. Click View Endpoints and make note of the OData Service URL for your virtual schema, e.g. https://cloud.cdata.com/api/odata/{virtual_schema_name}

With the connection, PAT, and Virtual Schema configured, you are ready to connect to Harvest data from Tableau Cloud.

Visualize Live Harvest Data in Tableau Cloud

The steps below outline creating a new data source in Tableau Cloud based on the virtual Harvest database in Connect AI and building a simple visualization from the data.

1. Log into Tableau Cloud, select a account, and create a new workbook.
2. In the new workbook, choose the OData Connector from the data wizard and fill in the values for your Connect AI instance.
   • Set Server to the OData URL for your Virtual Schema, e.g. https://cloud.cdata.com/api/odata/{virtual_schema_name}
   • Set Authentication to Username and Password
   • Set Username to your Connect AI username (e.g. [email protected])
   • Set Password to a PAT for the above user
   
3. Select your newly created database and the table(s) you wish to visualize (defining relationships for JOINad tables as needed).

4. Select Dimensions and Measures and configure your visualization.

Real-Time Access to Harvest Data from Cloud Applications

At this point, you have a direct, cloud-to-cloud connection to live Harvest data from your Tableau Cloud workbook. You can create new visualizations, build dashboards, and more, with no need to publish data sources and workbooks from Tableau Desktop. For more information on gaining live access to data from more than 100 SaaS, Big Data, and NoSQL sources from cloud applications like Tableau Cloud, refer to our Connect AI page.