In what language can the Azure Synapse Apache Spark to Synapse SQL connector be used?

The Azure Synapse Apache Spark to Synapse SQL connector can be used with Scala. This integration allows for seamless interaction between Spark applications and Synapse SQL data, enabling complex data transformations and analytics. Scala is a highly functional language often used with Apache Spark due to its ability to handle distributed data processing efficiently and its close integration with the underlying Spark framework.

When using Scala, you have access to Spark's rich API, which streamlines the process of reading from and writing to Synapse SQL. This makes it an ideal choice for data engineers looking to leverage Spark for big data processing while interacting with structured data in Synapse.

Python and Java are also commonly used in Spark applications, providing alternative ways to build applications and interact with Synapse SQL. However, the specific focus on Scala reflects its tight integration and performance optimizations within the Spark ecosystem. SQL is not directly applicable as it is primarily a query language and not a programming language used for implementing connectors or APIs in this context.