Build Dashboards with Azure Data Lake Storage Data in DBxtra

The CData ODBC Driver for Azure Data Lake Storage enables access to live data from Azure Data Lake Storage under the ODBC standard, allowing you work with Azure Data Lake Storage data in a wide variety of BI, reporting, and ETL tools and directly, using familiar SQL queries. This article shows how to connect to Azure Data Lake Storage data as a generic ODBC Data Provider and create charts, reports, and dashboards based on Azure Data Lake Storage data in DBxtra.

Connect to Azure Data Lake Storage Data

1. If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can configure the DSN using the built-in Microsoft ODBC Data Source Administrator. This is also the last step of the driver installation. See the "Getting Started" chapter in the Help documentation for a guide to using the Microsoft ODBC Data Source Administrator to create and configure a DSN.
   
   

   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.

   When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

2. Open the DBxtra application and in the New menu click Project and name the Project.
3. Select ODBC Connection as the Data Connection Type.
4. Click the browse option () for the Data Source.
5. In the Data Link Properties window, select Microsoft OLE DB Provider for ODBC Drivers on the Provider tab.
6. On the Connection tab, select the Data Source Name and the initial catalog to use (CData).
7. Name the Connection and select the appropriate User Groups.
8. Double-click the Connection from within the Project to connect to the data.

Create a Dashboard with Azure Data Lake Storage Data

You are now ready to create a dashboard with Azure Data Lake Storage data.

1. Right-click Report Objects under the Project and select New Report Object.
2. In the new Report Object, click the link to create the Query.
3. In the Select Data Connection window, select the newly created data connection.
4. On the Query tab, expand the connection objects and select the Tables, Views, and specific columns you wish to include in your dashboard. You can specify search requirements and even create complex queries which include JOINs and aggregations.
5. On the Dashboard tab, select the visualizations and features for your dashboard. Assign the data values from the query to the appropriate fields for the Dashboards items (Values, Series, etc.)

With a new Dashboard created, you are ready to begin analysis of Azure Data Lake Storage data. Thanks to the ODBC Driver for Azure Data Lake Storage, you can refresh the Dashboard and immediately see any changes made at the source. In the same way, you can create and view Reports with live, up-to-date Azure Data Lake Storage data.