Distributed streaming is a method of processing and transmitting data in real-time across multiple servers or nodes. This approach allows for the handling of large volumes of data efficiently, as it divides the workload among various systems. Each node can process a portion of the data stream, enabling faster analysis and response times. In distributed streaming, technologies like Apache Kafka or Apache Flink are often used to manage the flow of data. These tools help ensure that data is consistently available and can be processed in parallel, making it easier for organizations to gain insights and make decisions based on real-time information.