Spark streaming for predictive business intelligence

Abstract

Apache spark can process the data in real time with the test mining and natural language processing. The business intelligence can be improved by collecting and processing the data from Web in real time. Process mining collects the data from event logs in process discovery and then diagnosis the difference between the observed and reality through event logs and extended the data of the event. Dealing with huge data process mining finds difficulty in processing. Spark handles the data processing speed and real time. It receives the input data and segregated into batches that put up in processing. The incoming data appended to the already existing data for processing. It identifies the problems and quickly reports generation of processing data.