Create HubDB-Connected Visualizations in Klipfolio

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

Klipfolio is an online dashboard platform designed to create real-time business dashboards, whether for your team or clients. When combined with CData Connect AI, you gain immediate cloud-to-cloud access to HubDB data to create visualizations, reports, and more. This article provides step-by-step instructions on connecting to HubDB within Connect AI and creating visualizations using HubDB data in Klipfolio.

CData Connect AI offers a direct cloud-to-cloud interface for HubDB, enabling you to construct reports from real-time HubDB data data within Klipfolio—without the need for data replication to a database natively supported by Klipfolio. While building visualizations, Klipfolio generates SQL queries to fetch data. With optimized data processing capabilities out of the box, CData Connect AI efficiently directs all supported SQL operations (such as filters, JOINs, etc.) directly to HubDB, harnessing server-side processing to swiftly retrieve the requested HubDB data data.

Configure HubDB Connectivity for Klipfolio

Connectivity to HubDB from Klipfolio is made possible through CData Connect AI. To work with HubDB data from Klipfolio, 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 Klipfolio.

Connect to HubDB from Klipfolio

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

  1. Open Klipfolio
  2. Click in Data Sources to add a new data source
  3. Search for and select MSSQL as the Service Adding a new datasource.
  4. Click "Create a custom MSSQL data source"
  5. Configure the data source by setting the MSSQL connection properties:
    • Host: tds.cdata.com
    • Port: 14333
    • Database: your database (e.g., HubDB1)
    • Driver: MS SQL
    • Username: a Connect AI user (e.g. [email protected])
    • Password: the above user's PAT
    • SQL Query: any query to retrieve data (e.g. SELECT * FROM NorthwindProducts )
    • Select the checkbox to "Include column headers"
    • Select the checkbox to "Use SSL/TLS"
    Configuring the connection to Connect AI.
  6. Click "Get data" to preview the HubDB data before building a data model.

Build a Data Model

After retrieving the data, click the checkbox to "Model your data" and click "Continue." In the new window, configure your data model.

  1. Confirm that the model includes all columns you wish to work with
  2. Name your model
  3. (optional) Set the Description
  4. Set "Header in row" to 1
  5. Click the toggle to "Exclude data before row" and set the value to 2
  6. Click "Save and Exit" Configuring the data model.

Create a Metric

With the data modeled, we are ready to create a Metric (or visualization) of the data to be used in the Klipfolio platform for dashboards, reporting, and more.

  1. Click "Create metrics"
  2. Select a Data source
  3. Select a Metric value and default aggregation
  4. Select Segmentation(s)
  5. Select a Date & time
  6. Select a Data shape
  7. Configure the Display settings
  8. Click Save Configuring a Metric
  9. Navigate to your Metric and further configure the visualization A configured Metric

SQL Access to HubDB Data from Cloud Applications

Now you have a Metric built from live HubDB data. You can add it to a new dashboard, share, and more. Easily create more data sources and new visualizations, produce reports, and more — all without replicating HubDB data.

To get SQL data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications, try CData Connect AI.

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