Define and Register the UDF in Databricks Notepad

Databricks offers a functionality that even though each CSP has its own unique attributes to create functions and gateways, there is only one process to know with Databricks.

Listed below is a summary of the entire process.

1. Set Up Your Environment by using a Databricks compute cluster of version 14.3 or higher.

   Note

   Databricks supports Java 1.8.

2. Create the Thales Function in Java.

3. Package the Java Code as a JAR.

4. Upload the JAR to Databricks. You can do this through the Databricks UI:

5. Register the UDF in Databricks using the following input values:

   Key	Sample data	Description
   datatype	char	Datatype of column (char or nbr)
   mode	protect	Mode of operation (protect or reveal)
   Data	345-23-3345	Can be protected or sensitive information