kafka

TL;DR Stream Processing is a big data paradigm. In Batch Processing, We need to have all data stored ahead of time. We process data in batches. We aggregate the results across all batches at the end. Batch processing tries to process all the data at once. In Stream Processing, Data come as a never-ending continuous stream of events. Stream processing naturally fits with time series data. Data are processed in real-time and we can respond to the events faster....