Create Azure Data Lake Storage Dashboards in Bold BI

Bold BI allows you to create, share, and collaborate on interactive BI dashboards. When paired with CData Connect Server, you get instant access to Azure Data Lake Storage data for visualizations, dashboards, and more. This article shows how to create a virtual database for Azure Data Lake Storage and build reports from Azure Data Lake Storage data in Bold BI.

CData Connect Server provides a pure SQL Server interface for Azure Data Lake Storage, allowing you to easily build reports from live Azure Data Lake Storage data in Bold BI — without replicating the data to a natively supported database. As you build visualizations, Bold BI generates SQL queries to gather data. Using optimized data processing out of the box, CData Connect Server pushes all supported SQL operations (filters, JOINs, etc) directly to Azure Data Lake Storage, leveraging server-side processing to quickly return the requested Azure Data Lake Storage data.

Create a Virtual SQL Server Database for Azure Data Lake Storage Data

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

1. Login to Connect Server and click Connections.
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 Save Changes
5. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

With the virtual database created, you are ready to connect to Azure Data Lake Storage data from Bold BI.

Visualize Live Azure Data Lake Storage Data in Bold BI

The steps below outline connecting to CData Connect Server from Bold BI to create a new Azure Data Lake Storage data source and build a simple visualization from the data.

1. Log into your Bold BI instance, click the data sources tab, create a new data source, and choose the SQL Server connector.
2. Choose the basic configuration and set the connection properties:
   • Name: Name your connection
   • Server name: Your Connect Server instance (CONNECT_SERVER_URL)
   • Port: 1433
   • Username: Your Connect Server username
   • Password: Your Connect Server password
   • Mode: Choose Live to query Azure Data Lake Storage on-demand or choose Extract to load the data into Bold BI
   • Database: Choose the database you created from the drop-down menu (azuredatalakedb)
3. Click Connect
4. Select the table to visualize and drag it onto the workspace.
5. Select a visualization style and add it to the report.
6. Click the gear icon for the visualization to configure the visualization properties and assign columns to the visualization.

SQL Access to Azure Data Lake Storage Data from Applications

Now you have a direct connection to live Azure Data Lake Storage data from your Bold BI workbook. You can create more data sources and new visualizations, build reports, and more — all without replicating Azure Data Lake Storage data.

To get SQL data access to 200+ SaaS, Big Data, and NoSQL sources directly from your applications, see the CData Connect page.