What is the purpose of "spark-submit" in Databricks?

The purpose of "spark-submit" in Databricks is to submit Spark applications for execution. This command is essential for running applications written in Spark, either in a standalone mode or within a cluster environment like Databricks. By using "spark-submit," developers can specify various parameters and configurations for their applications, such as the application jar, the main class to run, required resources, and cluster settings.

This capability enables users to execute batch processing, streaming, or machine learning jobs effectively. It facilitates the deployment of applications, making it easier for developers to manage their Spark jobs and monitor their execution status. Though it is fundamental for submitting Spark jobs, it does not directly engage with other functionalities like managing data storage, creating dashboards, or monitoring streams, which are covered by different components and tools within the Databricks environment.