What is big data streaming?
Big data streaming is a process in which big data is processed quickly in order to derive real-time insights from it. The data being processed is the data in motion. Big data streaming is ideally a speed-focused approach in which a continuous stream of data is processed.
Big data streaming is a process in which large data streams are processed in real time in order to extract insights and useful trends from them. A continuous stream of unstructured data is sent to memory for analysis before being saved to disk. This is done via a cluster of servers. When it comes to big data streaming, speed is the most important thing. The value of data, if not processed quickly, degrades over time.
Real-time streaming data analysis is a single pass analysis. Analysts cannot reanalyze the data after it has been streamed.