Model, Search, and Visualize Live Harvest Data in ThoughtSpot

Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Use CData Connect AI to connect to live Harvest data for modeling, searching, and visualizing.

ThoughtSpot is a cloud-based analytics platform that uses artificial intelligence (AI) and natural language processing (NLP) to help users analyze data and make decisions. 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 ThoughtSpot.

CData Connect AI provides a pure SQL Server, cloud-to-cloud interface for Harvest, allowing you to easily build models and visualizations from live Harvest data in ThoughtSpot. As you build visualizations, ThoughtSpot 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 ThoughtSpot

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

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. Adding a Connection
  3. Select "Harvest" from the Add Connection panel
  4. Selecting a data source
  5. 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.
    Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab in the Add Harvest Connection page and update the User-based permissions. Updating 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. Creating a new PAT
  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 ThoughtSpot.

Model, Search, and Visualize Live Harvest Data in ThoughtSpot

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

  1. Log into ThoughtSpot
  2. On the top navigation bar, click Data.
  3. Click Create new > Connection. Creating a new connection.
  4. Name the connection and click "SQL Server" as the data warehouse. Selecting SQL Server as the connection type.
  5. Click Continue on the top right.
  6. Enter the connection settings:
    • Host: enter the Virtual SQL Server endpoint: tds.cdata.com
    • Port: : enter 14333
    • 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 generated on the Settings page.
    • Database: enter the Connection Name of the CData Connect AI data source you want to connect to (for example, API1).
    Configuring the connection to the Virtual SQL Server API
  7. Click Continue.
  8. After connecting successfully, you will be able to choose which tables to include. Selecting tables (Salesforce is shown).
  9. Click Create Connection.

After you successfully configure your connection, you can build models, search, and visualize your Harvest data.

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 ThoughtSpot. You can model, search, and visualize your data from ThoughtSpot . For more information on gaining live access to data from more than 100 SaaS, Big Data, and NoSQL sources from cloud applications like ThoughtSpot, refer to our Connect AI page.

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