Connect to Azure Data Lake Storage Data from Crystal Reports

Crystal Reports is a business intelligence application by SAP designed to help you analyze your data with well-formatted, pixel-perfect, and multi-page reports. When paired with CData Connect AI, Crystal Reports gets access to live Azure Data Lake Storage data. This article demonstrates how to connect to Azure Data Lake Storage using Connect AI and report on Azure Data Lake Storage data in Crystal Reports.

CData Connect AI provides a pure SQL Server interface for Azure Data Lake Storage, allowing you to query data from Azure Data Lake Storage without replicating the data to a natively supported database. Using optimized data processing out of the box, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc.) directly to Azure Data Lake Storage, leveraging server-side processing to return the requested Azure Data Lake Storage data quickly.

Configure Azure Data Lake Storage Connectivity for Crystal Reports

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

1. Log into Connect AI, click Sources, and then click Add Connection
👁 Adding a Connection

2. Select "Azure Data Lake Storage" from the Add Connection panel
👁 Selecting a data source

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)
   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add Azure Data Lake Storage Connection page and update the User-based permissions. 👁 Updating permissions
   

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
2. On the Settings page, go to the Access Tokens section and click Create PAT.
3. Give the PAT a name and click Create. 👁 Creating a new PAT
   
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 and a PAT generated, you are ready to connect to Azure Data Lake Storage data from Crystal Reports.

Connect to Azure Data Lake Storage from Crystal Reports using Connect AI

To establish a connection from Crystal Reports to CData Connect AI, you will need to download the JDBC driver.

1. Open the Client Tools page of CData Connect AI.
2. Search for and select JDBC.
3. Download and run the setup file.
4. When the installation is complete, locate the JDBC Connect JAR file in the JDBC driver's installation directory, for example, C:\Program Files\CData\JDBC Driver for CData Connect\lib.
5. Copy the JDBC Connect JAR file (cdata.jdbc.connect.jar).

After copying the JDBC CData Connect JAR file, you will need to paste it into the Crystal Reports installation location and configure the connection to Connect AI.

1. Find the installation directory for Crystal Reports, for example, C:\Program Files (x86)\SAP BusinessObjects\SAP BusinessObjects Enterprise XI 4.0\java\lib
2. Paste the JDBC Connect JAR file into the Crystal Reports installation directory.
3. Go to the parent java folder. For example, C:\Program Files (x86)\SAP BusinessObjects\SAP BusinessObjects Enterprise XI 4.0\java This folder should contain a CRConfig file. 👁 Locating the CRConfig file in the Crystal Reports installation directory.
   
4. Open CRConfig in a text editor.
5. Add the path to the JDBC CData Connect JAR file in the
6. Log into Crystal Reports and start a blank report.
7. In the Database Expert dialog, click Create New Connection.
8. Select the JDBC data source and the tables you want to add. Click OK. 👁 Selecting the JDBC data source.
   
9. In the Connection dialog, enter the Connection URL (e.g. jdbc:connect:AuthScheme=Basic;user=username;password=PAT;) and Database Classname (e.g. cdata.jdbc.connect.ConnectDriver). 👁 Configuring the connection.
   
10. Click Finish. The Database Expert dialog displays all available connections. 👁 Browsing the available data from Connect AI.
    

You can now create reports with the connected data.

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