Analyze HubDB Data in Looker

Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Use CData Connect AI to connect to HubDB Data from Looker and build custom apps using live HubDB data.

Looker is a business intelligence and big data analytics platform that helps you explore, analyze and share real-time business analytics. When paired with CData Connect AI, you get instant, cloud-to-cloud access to HubDB data for business applications. This article shows how to connect to HubDB in Connect AI and then connect to HubDB data in Looker.

CData Connect AI provides a pure cloud-to-cloud interface for HubDB, allowing you to build reports from live HubDB data in Looker — without replicating the data to a natively supported database. As you create applications to work with data, Looker 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 HubDB, leveraging server-side processing to quickly return the requested HubDB data.

Configure HubDB Connectivity for Looker

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

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. Adding a Connection
  3. Select "HubDB" from the Add Connection panel
  4. Selecting a data source
  5. Enter the necessary authentication properties to connect to HubDB.

    There are two authentication methods available for connecting to HubDB data source: OAuth Authentication with a public HubSpot application and authentication with a Private application token.

    Using a Custom OAuth App

    AuthScheme must be set to "OAuth" in all OAuth flows. Be sure to review the Help documentation for the required connection properties for you specific authentication needs (desktop applications, web applications, and headless machines).

    Follow the steps below to register an application and obtain the OAuth client credentials:

    1. Log into your HubSpot app developer account.
      • Note that it must be an app developer account. Standard HubSpot accounts cannot create public apps.
    2. On the developer account home page, click the Apps tab.
    3. Click Create app.
    4. On the App info tab, enter and optionally modify values that are displayed to users when they connect. These values include the public application name, application logo, and a description of the application.
    5. On the Auth tab, supply a callback URL in the "Redirect URLs" box.
      • If you're creating a desktop application, set this to a locally accessible URL like http://localhost:33333.
      • If you are creating a Web application, set this to a trusted URL where you want users to be redirected to when they authorize your application.
    6. Click Create App. HubSpot then generates the application, along with its associated credentials.
    7. On the Auth tab, note the Client ID and Client secret. You will use these later to configure the driver.
    8. Under Scopes, select any scopes you need for your application's intended functionality.

      A minimum of the following scopes is required to access tables:

      • hubdb
      • oauth
      • crm.objects.owners.read
    9. Click Save changes.
    10. Install the application into a production portal with access to the features that are required by the integration.
      • Under "Install URL (OAuth)", click Copy full URL to copy the installation URL for your application.
      • Navigate to the copied link in your browser. Select a standard account in which to install the application.
      • Click Connect app. You can close the resulting tab.

    Using a Private App

    To connect using a HubSpot private application token, set the AuthScheme property to "PrivateApp."

    You can generate a private application token by following the steps below:

    1. In your HubDB account, click the settings icon (the gear) in the main navigation bar.
    2. In the left sidebar menu, navigate to Integrations > Private Apps.
    3. Click Create private app.
    4. On the Basic Info tab, configure the details of your application (name, logo, and description).
    5. On the Scopes tab, select Read or Write for each scope you want your private application to be able to access.
    6. A minimum of hubdb and crm.objects.owners.read is required to access tables.
    7. After you are done configuring your application, click Create app in the top right.
    8. Review the info about your application's access token, click Continue creating, and then Show token.
    9. Click Copy to copy the private application token.

    To connect, set PrivateAppToken to the private application token you retrieved.

    Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab in the Add HubDB 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 HubDB data from Looker.

Connect to HubDB in Looker

The steps below outline connecting to CData Connect AI from Looker to create a new HubDB data source.

  1. Log-in to Looker
  2. In the navigation pane, select Admin. Selecting Admin
  3. Under the Database category, select Connections. Selecting connections
  4. On the Connections page, click Add Connection. Adding a new connection
  5. Enter the connection settings:
    • Name: the name for the connection in models.
    • Dialect: select Microsoft SQL Server 2017+.
    • SSH Server: leave this disabled.
    • Remote Host:Port: enter tds.cdata.com in the first field and 14333 in the second field.
    • Database: enter the Connection Name of the CData Connect AI data source you want to connect to (for example, QuickBooksOnline1).
    • 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
    Leave the rest of the connection settings at their default values unless you need to modify them. Configuring connection settings
  6. At the bottom of the page, click Test These Settings to ensure that you can connect to CData Connect AI.
  7. Click Add Connection to create the connection and return to the Connections page. New connection added.

Your connection is now available for use in Looker. To connect to additional data sources from your CData Connect AI account, repeat the setup steps above, changing the value for Database for each data source.

Creating A Looker Visualization From The SQL Runner and Explore Features

To create a visualization in Looker using the SQL Runner, follow these steps:

  1. In the Looker interface, select Develop -> SQL Runner from the left navigation pane. Select SQL Runner.
  2. On the SQL Runner interface, select the connection you made in the previous steps. Entering name for new dashboard.
  3. Now, click the gear symbol next to a table and then select Explore Table. Entering name for new dashboard.
  4. Next, on the left menu, select fields from the table and click Run. You can now expand the Visualization accordion, and see a bar chart, by default. Entering name for new dashboard.

    We have now created a visualization of HubDB data in Looker using CData Connect AI!

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