Analyze Azure Data Lake Storage Data in Infragistics Reveal

Reveal is a data visualization solution provided by Infragistics and can be paired with the CData API Server to build dynamic dashboards from live Azure Data Lake Storage data. The CData API Server generates an OData API for Azure Data Lake Storage, which is natively consumable in Reveal. In this article, we walk through connecting to Azure Data Lake Storage in API Server and connecting to the API Server from Infragistics Reveal to create a simple dashboard.

Connect to Azure Data Lake Storage from API Server

CData API Server uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

1. Open API Server and click Settings -> Connection -> Add Connection 👁 Adding a connection
   
2. Select "Azure Data Lake Storage" 👁 Selecting a Connector (Salesforce is shown).
   
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 Entra ID (formerly 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 "Entra ID" (formerly Azure AD).
   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.
   👁 Configuring a connection (Salesforce is shown).
   

Add Azure Data Lake Storage Resource Definitions in API Server

After connecting to Azure Data Lake Storage, create Resources, which represent API endpoints for Azure Data Lake Storage data.

1. Click Settings -> Resources -> Add Resource 👁 Adding a new resource
   
2. Select the Azure Data Lake Storage connection 👁 Selecting a connection (Salesforce is shown)
   
3. Select the table you wish to retrieve and click Next 👁 Selecting a Table (Salesforce is shown)
   
4. (Optional) Edit the resource to select specific fields and more
5. Save the settings

Add an API Server User

Create a User to connect to Azure Data Lake Storage from Reveal through API Server.

1. Click Settings -> Users
2. Click Add
3. Configure a User with access to the Azure Data Lake Storage Connection and Resource(s) 👁 Creating a new user
   

(Optional) Configure Cross-Origin Resource Sharing (CORS)

When accessing and connecting to multiple different domains from an application such as Ajax, there is a possibility of violating the limitations of cross-site scripting. In that case, configure the CORS settings in Settings -> Server.

• Enable cross-origin resource sharing (CORS): ON
• Allow all domains without '*': ON
• Access-Control-Allow-Methods: GET, PUT, POST, OPTIONS
• Access-Control-Allow-Headers: Authorization

Save the changes to the settings.

Create a Dashboard in Reveal

With the API Server configured, we can visualize Azure Data Lake Storage data in Reveal.

1. Log into Reveal and click Dashboards -> New 👁 Adding a new dashboard
   
2. Click Data Source -> OData Feed 👁 Adding a new OData data source
   
3. Specify the API Server API endpoint URL, for example: https://serverurl/api.rsc 👁 Configuring the OData URL
   
4. Select Generic Credentials and specify the API Server username and authentication token 👁 Configuring the credentials
   
5. Select the entity you wish to visualize 👁 Selecting an entity to visualize (Salesforce is shown.)
   
6. Select fields and choose a chart type 👁 Visualizing data in Reveal (Salesforce is shown.)
   

More Information & Free Trial

At this point, you have created a simple dashboard from live Azure Data Lake Storage data. For more information on creating OData feeds from Azure Data Lake Storage (and more than 150 other sources), visit the API Server page. Download a free, 30-day trial and start working live Azure Data Lake Storage data in tools that consume OData APIs.