Please provide a brief overview of Spark Streaming and its potential use cases.

Spark Streaming is a subproject of Apache Spark that enables real-time data processing. It divides real-time data streams into small batches and processes them using the Spark engine, allowing for real-time data processing.

The applications of Spark Streaming include real-time monitoring and analysis, real-time recommendation systems, real-time log processing, real-time advertising delivery, etc. Through Spark Streaming, users can process large-scale data in real-time, quickly respond to real-time events, seamlessly integrate with other Spark components (such as Spark SQL, Spark MLlib, etc.), and achieve more complex real-time data processing tasks. Spark Streaming is widely used in industries such as the internet, finance, e-commerce, etc.