Integrate Live Azure Data Lake Storage Data into Custom Business Apps Built in 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 Cloud, you get instant, cloud-to-cloud access to Azure Data Lake Storage data from the apps you build using Power Apps. This article shows how to connect to Connect Cloud from Power Apps and build an app based on live Azure Data Lake Storage data.

CData Connect Cloud provides a pure SQL, cloud-to-cloud interface for Azure Data Lake Storage, allowing you to easily integrate with live Azure Data Lake Storage data in Power Apps — without replicating the data. CData Connect Cloud 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 Azure Data Lake Storage, leveraging server-side processing to quickly return Azure Data Lake Storage data.

Configure Azure Data Lake Storage Connectivity for Power Apps

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

1. Log into Connect Cloud, click Connections and click Add Connection
2. Select "Azure Data Lake Storage" from the Add Connection panel
3. Enter the necessary authentication properties to connect to Azure Data Lake Storage.

   Authenticating to a Gen 1 DataLakeStore Account

   Gen 1 uses OAuth 2.0 in Azure AD for authentication.

   For this, an Active Directory web application is required. You can create one as follows:

   1. Sign in to your Azure Account through the .
   2. Select "Azure Active Directory".
   3. Select "App registrations".
   4. Select "New application registration".
   5. Provide a name and URL for the application. Select Web app for the type of application you want to create.
   6. Select "Required permissions" and change the required permissions for this app. At a minimum, "Azure Data Lake" and "Windows Azure Service Management API" are required.
   7. Select "Key" and generate a new key. Add a description, a duration, and take note of the generated key. You won't be able to see it again.

   To authenticate against a Gen 1 DataLakeStore account, the following properties are required:

   • Schema: Set this to ADLSGen1.
   • Account: Set this to the name of the account.
   • OAuthClientId: Set this to the application Id of the app you created.
   • OAuthClientSecret: Set this to the key generated for the app you created.
   • TenantId: Set this to the tenant Id. See the property for more information on how to acquire this.
   • Directory: Set this to the path which will be used to store the replicated file. If not specified, the root directory will be used.

   Authenticating to a Gen 2 DataLakeStore Account

   To authenticate against a Gen 2 DataLakeStore account, the following properties are required:

   • Schema: Set this to ADLSGen2.
   • Account: Set this to the name of the account.
   • FileSystem: Set this to the file system which will be used for this account.
   • AccessKey: Set this to the access key which will be used to authenticate the calls to the API. See the property for more information on how to acquire this.
   • Directory: Set this to the path which will be used to store the replicated file. If not specified, the root directory will be used.
4. Click Create & Test
5. Navigate to the Permissions tab in the Add Azure Data Lake Storage Connection page and update the User-based permissions.

Add a Personal Access Token

If you are connecting from a service, application, platform, or framework that does not support OAuth authentication, you can create a Personal Access Token (PAT) to use for authentication. Best practices would dictate that you create a separate PAT for each service, to maintain granularity of access.

1. Click on your username at the top right of the Connect Cloud app and click User Profile.
2. On the User Profile page, scroll down to the Personal Access Tokens section and click Create PAT.
3. Give your 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, you are ready to connect to Azure Data Lake Storage data from Power Apps.

Connecting to CData Connect Cloud

To use Connect Cloud to integrate Azure Data Lake 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 Azure Data Lake Storage connection (e.g. ADLS1)
   • Set Username to a Connect Cloud user (e.g. user@mydomain.com)
   • Set Password to the PAT for the above user
   • Click Create

Building a Data-Centric App for Azure Data Lake Storage Data

With the connection to Connect Cloud configured, you are ready to integrate live Azure Data Lake 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 Azure Data Lake Storage data that you can save and publish for use within your organization.

SQL Access to Azure Data Lake Storage Data from Cloud Applications

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

To get real-time data access to 100+ SaaS, Big Data, and NoSQL sources directly from your cloud applications, sign up for a free trial of CData Connect Cloud.