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Embarcadero RAD Studio provides a development environment for Delphi and C++Builder applications. With the CData ODBC Driver for Azure Data Lake Storage, you gain access to live Azure Data Lake Storage data within RAD Studio, abstracting the data into tables, views, and stored procedures that can be used to both retrieve Azure Data Lake Storage data. This article will walk through connecting to Azure Data Lake Storage using the Data Explorer.
If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.
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:
To authenticate against a Gen 1 DataLakeStore account, the following properties are required:
To authenticate against a Gen 2 DataLakeStore account, the following properties are required:
You can create a simple application for displaying Azure Data Lake Storage data by utilizing the CData FireDAC Components for Azure Data Lake Storage and a new VCL Forms Application:
Create a new VCL Forms application and drag a view (for example: Resources) onto the form.
๐ Placing the View on the Form. (Salesforce is shown.)Right-click on the object, bind visually, and link everything (*) to a new control (TStringGrid).
๐ Visually Binding the View. (Salesforce is shown.)Arrange the TStringGrid on the form and run the application to see the Resources data.
๐ The View data on a Form. (Salesforce is shown.)Below you can find other articles for using the CData ODBC Driver with RAD Studio, Delphi, and C++ Builder.
Download a free trial of the Azure Data Lake Storage ODBC Driver to get started:
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๐ Azure Data Lake Storage IconThe Azure Data Lake Storage ODBC Driver is a powerful tool that allows you to connect with live data from Azure Data Lake Storage, directly from any applications that support ODBC connectivity.
Access Azure Data Lake Storage data like you would a database - read, write, and update Azure Data Lake Storage ADLSData, etc. through a standard ODBC Driver interface.