How to connect and process Zoho Projects Data from Azure Databricks



Use CData, Azure, and Databricks to perform data engineering and data science on live Zoho Projects Data

Databricks is a cloud-based service that provides data processing capabilities through Apache Spark. When paired with the CData JDBC Driver, customers can use Databricks to perform data engineering and data science on live Zoho Projects data. This article walks through hosting the CData JDBC Driver in Azure, as well as connecting to and processing live Zoho Projects data in Databricks.

With built-in optimized data processing, the CData JDBC driver offers unmatched performance for interacting with live Zoho Projects data. When you issue complex SQL queries to Zoho Projects, the driver pushes supported SQL operations, like filters and aggregations, directly to Zoho Projects and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze Zoho Projects data using native data types.

Install the CData JDBC Driver in Azure

To work with live Zoho Projects data in Databricks, install the driver on your Azure cluster.

  1. Navigate to your Databricks administration screen and select the target cluster.
  2. On the Libraries tab, click "Install New."
  3. Select "Upload" as the Library Source and "Jar" as the Library Type.
  4. Upload the JDBC JAR file (cdata.jdbc.zohoprojects.jar) from the installation location (typically C:\Program Files\CData[product_name]\lib).

Connect to Zoho Projects from Databricks

With the JAR file installed, we are ready to work with live Zoho Projects data in Databricks. Start by creating a new notebook in your workspace. Name the notebook, select Python as the language (though Scala is available as well), and choose the cluster where you installed the JDBC driver. When the notebook launches, we can configure the connection, query Zoho Projects, and create a basic report.

Configure the Connection to Zoho Projects

Connect to Zoho Projects by referencing the class for the JDBC Driver and constructing a connection string to use in the JDBC URL. Additionally, you will need to set the RTK property in the JDBC URL (unless you are using a Beta driver). You can view the licensing file included in the installation for information on how to set this property.

driver = "cdata.jdbc.zohoprojects.ZohoProjectsDriver"
url = "jdbc:zohoprojects:RTK=5246...;InitiateOAuth=GETANDREFRESH"

Built-in Connection String Designer

For assistance in constructing the JDBC URL, use the connection string designer built into the Zoho Projects JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

java -jar cdata.jdbc.zohoprojects.jar

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

The connector uses OAuth to authenticate with Zoho Projects. CData Software has already registered an OAuth application with Zoho Project which is embedded and used to authenticate.

If you use the embedded credentials, set the InitiateOAuth connection property to "GETANDREFRESH".

If you would prefer to use your own custom OAuth app, see the Help documentation.

Load Zoho Projects Data

Once the connection is configured, you can load Zoho Projects data as a dataframe using the CData JDBC Driver and the connection information.

remote_table = spark.read.format ( "jdbc" ) \
	.option ( "driver" , driver) \
	.option ( "url" , url) \
	.option ( "dbtable" , "Portals") \
	.load ()

Display Zoho Projects Data

Check the loaded Zoho Projects data by calling the display function.

display (remote_table.select ("Id"))

Analyze Zoho Projects Data in Azure Databricks

If you want to process data with Databricks SparkSQL, register the loaded data as a Temp View.

remote_table.createOrReplaceTempView ( "SAMPLE_VIEW" )

The SparkSQL below retrieves the Zoho Projects data for analysis.

% sql

SELECT Id, Name FROM Portals WHERE CrmPartner = 'true'

The data from Zoho Projects is only available in the target notebook. If you want to use it with other users, save it as a table.

remote_table.write.format ( "parquet" ) .saveAsTable ( "SAMPLE_TABLE" )

Download a free, 30-day trial of the CData JDBC Driver for Zoho Projects and start working with your live Zoho Projects data in Azure Databricks. Reach out to our Support Team if you have any questions.

Ready to get started?

Download a free trial of the Zoho Projects Driver to get started:

 Download Now

Learn more:

Zoho Projects Icon Zoho Projects JDBC Driver

Rapidly create and deploy powerful Java applications that integrate with Zoho Projects.