Visualize Live HubDB Data in the Power BI Service

Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Use CData Connect AI to connect to live HubDB data and create custom reports in the Power BI Service through the On-Premises Gateway.

Power BI transforms your company's data into rich visuals for you to collect and organize so you can focus on what matters to you. When paired with CData Connect AI, you get instant access to HubDB data for visualizations, dashboards, and more. This article shows how to build and publish a dataset from HubDB data in Power BI and then create reports on HubDB data in the Power BI service.

CData Connect AI provides a pure SQL interface for HubDB, allowing you to easily build reports from live HubDB data in Power BI — with no need to replicate the data. As you build visualizations, Power BI 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 HubDB data.

NOTE: You can also import HubDB data into Power BI through Connect AI (instead of using the on-premise gateway). Read how in the related Knowledge Base article.

Configure HubDB Connectivity for Power BI

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

Connecting to Connect AI from Power BI

To connect to and visualize live HubDB data in the Power BI service, install the on-premise data gateway, add a data source to the gateway from the Power BI service, and publish a dataset from Power BI Desktop to the service.

Install the On-Premises Data Gateway

The Microsoft on-premise data gateway provides secure data transfer between connected data sources and various cloud-based Microsoft tools and platforms. You can read more about the gateway in the Microsoft documentation.

You can download and install the gateway from the Power BI service:

  1. Log in to PowerBI.com.
  2. Click the Download menu and click Data Gateway. Download the Data Gateway
  3. Follow the instructions for installation, making note of the name of the gateway.

Add HubDB as a Data Source to the Power BI Service

Once you have installed the data gateway, you add Connect AI as a data source to the Power BI service:

  1. Log in to PowerBI.com.
  2. Click the Settings menu and click "Manage gateways." Settings ->
  3. Click "ADD DATA SOURCE" and configure the connection to Connect AI:

    • Set Data Source Name to something like ConnectCloudHubDB.
    • Choose SQL Server as the Data Source Type.
    • Set Server to tds.cdata.com,14333.
    • Set Database to the name of your HubDB connection (e.g. HubDB1).
    • Set Authentication Method to Basic.
    • Set Username to a Connect AI user (e.g. [email protected])
    • Set Password to the PAT for the user above.

Publish a Dataset from Power BI Desktop

With the gateway installed and Connect AI added as a datasource to the Power BI service, you can publish a dataset from Power BI Desktop to the service.

  1. Open Power BI, click Get Data -> More, then select SQL Server database, and click Connect.
  2. Create a new connection in Power BI
  3. Set the connection properties and click OK.
    • Set Server to tds.cdata.com,14333.
    • Set Database to the name of your HubDB connection (e.g. HubDB1).
    • Set Data Connectivity mode to DirectQuery*.
    Connect to CData Connect AI instance * DirectQuery enables live query processing and real-time visualizations of HubDB data.
  4. In the authentication wizard, select Database, set the User name and Password properties, and click Connect.
  5. Authenticate the connection
  6. Select the table(s) to visualize in the Navigator dialog.
  7. In the Query Editor, you can customize your dataset by filtering, sorting, and summarizing HubDB columns. Click Edit to open the query editor. Right-click a raw to filter the rows. Right-click a column header to perform options like the following:
    • Change column data types
    • Remove a column
    • Group by columns

    Power BI detects each column's data type from the HubDB metadata reported by Connect AI.

    Power BI records your modifications to the query in the Applied Steps section, adjusting the underlying data retrieval query that is executed to the remote HubDB data. When you click Close and Apply, Power BI executes the data Retrieval query.

    Otherwise, click Load to pull the data into Power BI.

  8. Define any relationships between the selected entities on the Relationships tab.
  9. Click Publish (from the Home menu) and select a Workspace.

Build Reports and Dashboards on HubDB Data in the Power BI Service

Now that you have published a dataset to the Power BI service, you can create new reports and dashboards based on the published data:

  1. Log in to PowerBI.com.
  2. Click Workspaces and select a workspace.
  3. Click Create and select Report.
  4. Select the published dataset for the report. Select a dataset
  5. Choose fields and visualizations to add to your report. Visualizing HubDB data in the Power BI service

Live Access to HubDB Data from Cloud Applications

Now you have a direct connection to live HubDB data from the Power BI service. You can create more data sources and new visualizations, build reports, and more — all without replicating HubDB data.

To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications, sign up for a free trial of CData Connect AI.

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