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

The CData JDBC Driver for Azure implements JDBC Standards and allows various applications, including Dremio, to work with live Azure Table 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 Table data as a part of your enterprise data lake. This article describes how to connect to Azure Table data from Dremio as an External Source.

The CData JDBC Driver enables high-speed access to live Azure Table data in Dremio. Once you install the driver, authenticate with Azure Table and gain immediate access to Azure Table data within your data lake. By surfacing Azure Table data using native data types and handling complex filters, aggregations, & other operations automatically, the CData JDBC Driver grants seamless access to Azure Table 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 Table to %DREMIO_HOME%/jars/3rdparty. You can use commands similar to the following:

ARP Connector

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

JDBC Driver for Azure Table

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

Connecting to Azure Table

Azure Table will now appear as an External Source option in Dremio. The ARP Connector built uses a JDBC URL to connect to Azure Table 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 Table JDBC Driver. Double-click the JAR file or execute the jar file from the command line.

java -jar cdata.jdbc.azuretables.jar

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

Specify your AccessKey and your Account to connect. Set the Account property to the Storage Account Name and set AccessKey to one of the Access Keys. Either the Primary or Secondary Access Keys can be used. To obtain these values, navigate to the Storage Accounts blade in the Azure portal. You can obtain the access key by selecting your account and clicking Access Keys in the Settings section.

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:azuretables:RTK=5246...;AccessKey=myAccessKey;Account=myAccountName;

Access Azure Table as an External Source

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

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

More Information & Free Trial

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