Build Lakebase-Connected Dashboards Using Zoho Analytics

Zoho Analytics is a modern BI and Analytics platform that allows you to connect and analyze your data, while also creating visualizations and dashboards to discover hidden insights. When paired with CData Connect AI, Zoho Analytics provides instant, cloud-to-cloud access to Lakebase data for reporting and analytics. This article demonstrates how to connect to Lakebase using Connect AI and analyze Lakebase data by creating dashboards in Zoho Analytics.

CData Connect AI provides a pure cloud-to-cloud interface for Lakebase, allowing you to analyze Lakebase data in Zoho Analytics — without replicating the data to a natively supported database. Using optimized data processing out of the box, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc.) directly to Lakebase, leveraging server-side processing to return the requested Lakebase data quickly.

Configure Lakebase Connectivity for Zoho Analytics

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

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

2. Select "Lakebase" from the Add Connection panel
👁 Selecting a data source

3. Enter the necessary authentication properties to connect to Lakebase. To connect to Databricks Lakebase, start by setting the following properties:
   • DatabricksInstance: The Databricks instance or server hostname, provided in the format instance-abcdef12-3456-7890-abcd-abcdef123456.database.cloud.databricks.com.
   • Server: The host name or IP address of the server hosting the Lakebase database.
   • Port (optional): The port of the server hosting the Lakebase database, set to 5432 by default.
   • Database (optional): The database to connect to after authenticating to the Lakebase Server, set to the authenticating user's default database by default.

   OAuth Client Authentication

   To authenicate using OAuth client credentials, you need to configure an OAuth client in your service principal. In short, you need to do the following:

   1. Create and configure a new service principal
   2. Assign permissions to the service principal
   3. Create an OAuth secret for the service principal

   For more information, refer to the Setting Up OAuthClient Authentication section in the Help documentation.

   OAuth PKCE Authentication

   To authenticate using the OAuth code type with PKCE (Proof Key for Code Exchange), set the following properties:

   • AuthScheme: OAuthPKCE.
   • User: The authenticating user's user ID.

   For more information, refer to the Help documentation.

   👁 Configuring a connection (Salesforce is shown)
   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add Lakebase 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 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 Lakebase data from Zoho Analytics.

Connect to Lakebase in Zoho Analytics Using CData Connect AI

To establish a connection from Zoho Analytics to CData Connect AI, follow these steps:

1. Log in to Zoho Analytics.
👁 Logging into Zoho Analytics

2. Create a new connection and select Cloud Databases to open the connection modal.
👁 Creating a new connection

3. Enter the following information:
   • Database Type - select MS SQL Server.
   • Endpoint - enter tds.cdata.com
   • SQL Server Instance Name - leave this blank.
   • 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.
   • Database Name - enter the Connection Name of the CData Connect AI data source you want to connect to (for example, Lakebase1).
   • Click Next.
   👁 Displaying configuration settings
   
4. Choose the table that you would like to import from, e.g. Orders.
👁 Choosing table to import

5. A Data Preview of the table should pop up. Next, enter a Workspace Name and Table Name to be able to refer to in Zoho Analytics. Click Next.
👁 Displaying data preview

6. There is an option to schedule the import periodically. After configuring, click Create.
👁 Scheduling the import

7. Now, the import has been initiated. Click OK.
👁 Initiating the import

8. View your new connection in the Zoho Analytics Explorer.
👁 Viewing new connection

9. Click on the new connection to see the table.
👁 Viewing the table

10. Zoho Analytics can auto-generate dashboards for the user, as seen here:
👁 Auto-generating a dashboard

We have successfully imported Lakebase data into Zoho Analytics and created dashboards.

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