Model, Search, and Visualize Live Mode Data in ThoughtSpot

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 Mode data for visualizations, dashboards, and more. This article shows how to connect to Mode and build visualizations from Mode data in ThoughtSpot.

CData Connect AI provides a pure SQL Server, cloud-to-cloud interface for Mode, allowing you to easily build models and visualizations from live Mode 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 Mode, leveraging server-side processing to quickly return Mode data.

Configure Mode Connectivity for ThoughtSpot

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

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

2. Select "Mode" from the Add Connection panel

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

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

   Mode API Profile Settings

   In Mode, go to My Account > API Tokens to generate an access token and access secret, which serve as the User and Password credentials respectively.

   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add Mode 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 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 Mode data from ThoughtSpot.

Model, Search, and Visualize Live Mode 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.
4. Name the connection and click "SQL Server" as the data warehouse.
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).
   
7. Click Continue.
8. After connecting successfully, you will be able to choose which tables to include.
9. Click Create Connection.

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

Real-Time Access to Mode Data from Cloud Applications

At this point, you have a direct, cloud-to-cloud connection to live Mode 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.