Connect to Azure Data Catalog Data in as an External Source in Dremio

The CData JDBC Driver for Azure Data Catalog implements JDBC Standards and allows various applications, including Dremio, to work with live Azure Data Catalog data. Dremio is a data lakehouse platform designed to empower self-service, interactive analytics on the data lake. With the CData JDBC Driver, you can include live Azure Data Catalog data as a part of your enterprise data lake. This article describes how to connect to Azure Data Catalog data from Dremio as an External Source.

The CData JDBC Driver enables high-speed access to live Azure Data Catalog data in Dremio. Once you install the driver, authenticate with Azure Data Catalog and gain immediate access to Azure Data Catalog data within your data lake. By surfacing Azure Data Catalog data using native data types and handling complex filters, aggregations, & other operations automatically, the CData JDBC Driver grants seamless access to Azure Data Catalog data.

Build the ARP Connector

To use the CData JDBC Driver in Dremio, you need to build an Advanced Relation Pushdown (ARP) Connector. You can view the source code for the Connector on GitHub or download the ZIP file (GitHub.com) directly. Once you copy or extract the files, run the following command from the root directory of the connector (the directory containing the pom.xml file) to build the connector.

mvn clean install

Once the JAR file for the connector is built (in the target directory), you are ready to copy the ARP connector and JDBC Driver to your Dremio instance.

Installing the Connector and JDBC Driver

Install the ARP Connector to %DREMIO_HOME%/jars/ and the JDBC Driver for Azure Data Catalog to %DREMIO_HOME%/jars/3rdparty. You can use commands similar to the following:

ARP Connector

docker cp PATH\TO\dremio-azuredatacatalog-plugin-20.0.0.jar dremio_image_name:/opt/dremio/jars/

JDBC Driver for Azure Data Catalog

docker cp PATH\TO\cdata.jdbc.azuredatacatalog.jar dremio_image_name:/opt/dremio/jars/3rdparty/

Connecting to Azure Data Catalog

Azure Data Catalog will now appear as an External Source option in Dremio. The ARP Connector built uses a JDBC URL to connect to Azure Data Catalog data. The JDBC Driver has a built-in connection string designer that you can use (see below).

Built-in Connection String Designer

For assistance in constructing the JDBC URL, use the connection string designer built into the Azure Data Catalog JDBC Driver. Double-click the JAR file or execute the jar file from the command line.

java -jar cdata.jdbc.azuredatacatalog.jar

Fill in the connection properties and copy the connection string to the clipboard.

You can optionally set the following to read the different catalog data returned from Azure Data Catalog.

CatalogName: Set this to the CatalogName associated with your Azure Data Catalog. To get your Catalog name, navigate to your Azure Portal home page > Data Catalog > Catalog Name

Connect Using OAuth Authentication

You must use OAuth to authenticate with Azure Data Catalog. OAuth requires the authenticating user to interact with Azure Data Catalog using the browser. For more information, refer to the OAuth section in the help documentation.

NOTE: To use the JDBC Driver in Dremio, you will need a license (full or trial) and a Runtime Key (RTK). For more information on obtaining this license (or a trial), contact our sales team.

Add the Runtime Key (RTK) to the JDBC URL. You will end up with a JDBC URL similar to the following:

jdbc:azuredatacatalog:RTK=5246...;InitiateOAuth=GETANDREFRESH

Access Azure Data Catalog as an External Source

To add Azure Data Catalog as an External Source, click to add a new source and select AzureDataCatalog. Copy the JDBC URL and paste it into the New AzureDataCatalog Source wizard.

Save the connection and you are ready to query live Azure Data Catalog data in Dremio, easily incorporating Azure Data Catalog data into your data lake.

More Information & Free Trial

Using the CData JDBC Driver for Azure Data Catalog in Dremio, you can incorporate live Azure Data Catalog data into your data lake. Check out our CData JDBC Driver for Azure Data Catalog page for more information about connecting to Azure Data Catalog. Download a free, 30 day trial of the CData JDBC Driver for Azure Data Catalog and get started today.