Connecting to Azure Data Lake Storage

Establishing a Connection shows how to authenticate to Azure Data Lake Storage and configure any necessary connection properties in a JDBC URL. You can also configure driver capabilities through the available Connection properties, from data modeling to firewall traversal. The Advanced Settings section shows how to set up more advanced configurations and troubleshoot connection errors.

Connecting to JDBC Data Sources

The CData JDBC Driver for Azure Data Lake Storage provides full support for integration into Java applications, including Eclipse, NetBeans, IntelliJ IDEA, and many other Integrated Development Environments, as well as J2EE applications running on a Java server such as Tomcat. You can find JSP, console, and swing demos in the installation folder.

Java Version Support

To deploy the driver JAR file, you must have Java Development Kit (JDK) 1.8 or higher installed on your system.

Azure Data Lake Storage Version Support

The driver leverages the Azure Data Lake Storage API to enable bidirectional access to Azure Data Lake Storage.

See Also

• Create Connection Objects

  See Connecting from Code to create JDBC Connection objects.

• Query Data from Code

  See Executing Statements and Using Prepared Statements to execute SQL statements to Azure Data Lake Storage tables.

• Connect from Java-Based Tools

  See Using from Tools shows how to connect to Azure Data Lake Storage and query data from several popular database tools.