Final answer:
A DStream in Apache Spark is a distributed stream processing framework that allows for real-time or near real-time data processing.
Step-by-step explanation:
A DStream in Apache Spark is a distributed stream processing framework. It represents a continuous stream of data that is divided into small time intervals called micro-batches.
Each micro-batch is processed in parallel using Spark's computing capabilities, allowing for real-time or near real-time data processing.
DStreams enable the development of streaming applications in Spark by providing high-level APIs for manipulating data streams.