Stream Processing Explained

Stream processing is essential for meeting the demands of real-time data analytics, contrasting with traditional batch processing methods like MapReduce. As user interactions become more dynamic, the need for low-latency results has grown, prompting the development of platforms like Samza. This technology allows for immediate event processing, enabling quick responses to online requests.