Build Harvest Visualizations in Tableau Cloud

Tableau Cloud is an analytics platform fully hosted in the cloud. When paired with CData Connect Server, you get instant, cloud-to-cloud access to Harvest data for visualizations, dashboards, and more. This article shows how to create a virtual database for Harvest and build visualizations from Harvest data in Tableau Cloud.

CData Connect Server provides a pure SQL Server 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 Server pushes all supported SQL operations (filters, JOINs, etc) directly to Harvest, leveraging server-side processing to quickly return Harvest data.

Create a Virtual SQL Server Database for Harvest Data

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

1. Login to Connect Server and click Connections.
2. Select "Harvest" from Available Data Sources.
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 Changes
5. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

With the virtual database created, you are ready to build visualizations in 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 Server and building a simple visualization from the data.

1. Log into Tableau Cloud, select a project, and create a new workbook.
2. In the new workbook, choose the Microsoft SQL Server Connector from the data wizard and fill in the values for your Connect Server instance.
   NOTE: Be sure to check the "Require SSL" checkbox.
3. Select your newly created database and the table(s) you wish to visualize (defining relationships for JOINed tables as needed).
4. Select Dimensions and Measures and configure your visualization.

SQL Access to Harvest Data from Applications

At this point, you have a direct 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 SQL access to data from more than 100 SaaS, Big Data, and NoSQL sources from cloud applications like Tableau Cloud, refer to our Connect Server page.