Integrate Live Google Cloud Storage Data into Custom Business Apps Built in Power Apps

Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Use CData Connect AI to connect to Google Cloud Storage data and integrate live Google Cloud Storage data into apps built in Microsoft Power Apps.

Power Apps is a service for building and using custom business apps that connect to your data and work across the web and mobile — without the time and expense of custom software development. When paired with CData Connect AI, you get instant, cloud-to-cloud access to Google Cloud Storage data from the apps you build using Power Apps. This article shows how to connect to Connect AI from Power Apps and build an app based on live Google Cloud Storage data.

CData Connect AI provides a pure SQL, cloud-to-cloud interface for Google Cloud Storage, allowing you to easily integrate with live Google Cloud Storage data in Power Apps — without replicating the data. CData Connect AI looks exactly like a SQL Server database to Power Apps and uses optimized data processing out of the box to push all supported SQL operations (filters, JOINs, etc) directly to Google Cloud Storage, leveraging server-side processing to quickly return Google Cloud Storage data.

Configure Google Cloud Storage Connectivity for Power Apps

Connectivity to Google Cloud Storage from Power Apps is made possible through CData Connect AI. To work with Google Cloud Storage data from Power Apps, we start by creating and configuring a Google Cloud Storage connection.

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. Select "Google Cloud Storage" from the Add Connection panel
  3. Enter the necessary authentication properties to connect to Google Cloud Storage.

    Authenticate with a User Account

    You can connect without setting any connection properties for your user credentials. After setting InitiateOAuth to GETANDREFRESH, you are ready to connect.

    When you connect, the Google Cloud Storage OAuth endpoint opens in your default browser. Log in and grant permissions, then the OAuth process completes

    Authenticate with a Service Account

    Service accounts have silent authentication, without user authentication in the browser. You can also use a service account to delegate enterprise-wide access scopes.

    You need to create an OAuth application in this flow. See the Help documentation for more information. After setting the following connection properties, you are ready to connect:

    • InitiateOAuth: Set this to GETANDREFRESH.
    • OAuthJWTCertType: Set this to "PFXFILE".
    • OAuthJWTCert: Set this to the path to the .p12 file you generated.
    • OAuthJWTCertPassword: Set this to the password of the .p12 file.
    • OAuthJWTCertSubject: Set this to "*" to pick the first certificate in the certificate store.
    • OAuthJWTIssuer: In the service accounts section, click Manage Service Accounts and set this field to the email address displayed in the service account Id field.
    • OAuthJWTSubject: Set this to your enterprise Id if your subject type is set to "enterprise" or your app user Id if your subject type is set to "user".
    • ProjectId: Set this to the Id of the project you want to connect to.

    The OAuth flow for a service account then completes.

  4. Click Save & Test
  5. Navigate to the Permissions tab in the Add Google Cloud Storage 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 Google Cloud Storage data from Power Apps.

Connecting to CData Connect AI

To use Connect AI to integrate Google Cloud Storage data into your Power Apps, you need a new SQL Server connection:

  1. Log in to Power Apps
  2. Click Dataverse -> Connections -> New connection
  3. Select SQL Server
  4. In the connection wizard:

    • Choose to connect directly
    • Set SQL server name to tds.cdata.com,14333
    • Set SQL database name to the name of the Google Cloud Storage connection (e.g. GoogleCloudStorage1)
    • Set Username to a Connect AI user (e.g. [email protected])
    • Set Password to the PAT for the above user
    • Click Create

Building a Data-Centric App for Google Cloud Storage Data

With the connection to Connect AI configured, you are ready to integrate live Google Cloud Storage data into the apps you build in Power Apps.

  1. Log in to Power Apps
  2. Click Create and select "SQL"
  3. Select the SQL Server connection you created
  4. Search for or choose a table to work with
  5. Click Connect
  6. Customize the newly created app just like you would any other, including changing the layout and setting the fields exposed in BrowseScreen, DetailScreen, and EditScreen

At this point, you have an app with read access to live Google Cloud Storage data that you can save and publish for use within your organization.

SQL Access to Google Cloud Storage Data from Cloud Applications

Now you have a direct connection to live Google Cloud Storage data from Microsoft Power Apps. You can create more connections and apps to drive business — all without replicating Google Cloud Storage data.

To get real-time 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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