Spark Connect enables remote execution of Spark jobs by decoupling the client from the driver using the Spark Connect protocol (gRPC).

It allows users to run Spark code from different environments (like notebooks, IDEs, or remote clients) while executing jobs on the cluster.

Key Features:

Enables remote interaction between client and Spark driver.

Supports interactive development and lightweight client sessions.

Improves developer productivity without needing driver resources locally.

Why the other options are incorrect:

A: Spark Connect is not limited to ingestion tasks.

B: It allows multi-language clients (Python, Scala, etc.) but runs via Spark Connect API, not arbitrary remote code.

C: Uses gRPC protocol, not REST.