Analyze Azure Data Lake Storage Data in Infragistics Reveal

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CData Connect



Use the CData Connect Cloud to create an OData API on top of Azure Data Lake Storage data and visualize live Azure Data Lake Storage data in Ingragistics Reveal.

Reveal is a data visualization solution provided by Infragistics and can be paired with the CData Connect Cloud and Azure Data Lake Storage Connector to build dynamic dashboards from live Azure Data Lake Storage data. The CData Connect Cloud creates a virtual database for Azure Data Lake Storage and can be used to generate an OData API (natively consumable in Reveal) for Azure Data Lake Storage. In this article, we walk through connecting to Azure Data Lake Storage in Connect Cloud and connecting to Connect Cloud from Infragistics Reveal to create a simple dashboard.

Add a Connect Cloud User

Create a User to connect to Azure Data Lake Storage from Reveal through Connect Cloud.

  1. Click Users -> Add
  2. Configure a User
  3. Click Save Changes and make note of the Authtoken for the new user

Connect to Azure Data Lake Storage from Connect Cloud

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

  1. Open Connect Cloud and click Databases
  2. Select "Azure Data Lake Storage" from Available Data Sources
  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 Test Database
  5. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions (SELECT is all that is required for Reveal).

Add Azure Data Lake Storage OData Endpoints in Connect Cloud

After connecting to Azure Data Lake Storage, create OData Endpoint for the desired table(s).

  1. Click OData -> Tables -> Add Tables
  2. Select the Azure Data Lake Storage database
  3. Select the table(s) you wish to work with and click Next
  4. (Optional) Edit the resource to select specific fields and more
  5. Save the settings

(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 OData -> Settings.

  • 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 Connect Cloud configured, we can visualize Azure Data Lake Storage data in Reveal.

  1. Log into Reveal and click Dashboards -> New
  2. Click Data Source -> OData Feed
  3. Specify the Connect Cloud API endpoint URL (found in API -> Discovery -> Base URL), for example: https://www.cdatacloud.com/myinstance/api.rsc
  4. Select Generic Credentials and specify the Connect Cloud username and authentication token
  5. Select the entity you wish to visualize
  6. Select fields and choose a chart type

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 Connect Cloud page. Download a free, 30-day trial and start working live Azure Data Lake Storage data in tools that consume OData APIs.