What is the primary purpose of OCI Data Flow?

The primary purpose of OCI Data Flow is to enable users to run Apache Spark applications without the need to manage the underlying infrastructure. This service provides a serverless environment, allowing developers to focus on coding and data processing tasks rather than on the complexities of infrastructure management. With OCI Data Flow, users can easily scale their Spark applications based on workload demands, benefit from automatic provisioning of resources, and leverage built-in security and operational features.

This capability eliminates the overhead associated with setting up and maintaining Spark clusters, thus streamlining the development process and improving productivity. By providing a managed environment, OCI Data Flow caters specifically to the needs of data engineers and data scientists, facilitating efficient processing of big data applications.

Other options relate to different functionalities within the broader context of data handling and analytics but do not capture the core focus of OCI Data Flow, which is primarily about running Spark applications efficiently and effortlessly.