Spark Streaming for Predictive Business Intelligence

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. Then diagnosis the differ...

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Bibliographic Details
Published in2019 International Conference on Emerging Trends in Science and Engineering (ICESE) Vol. 1; pp. 1 - 4
Main Authors Ganesh, N.S.Gowri, Mummoorthy, A., Chandrika, R.Roopa, Raman G.R., Anantha
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2019
Subjects
Business intelligence
Data mining
Distributed databases
Natural language processing
Open source software
Process Mining
Real-time systems
Spark
Sparks
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Summary: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. Then diagnosis the difference between the observed and reality through an 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 put up in processing. The incoming data append into the already existing data for processing. It identifies the problems and quick report generation of processing data.
DOI:10.1109/ICESE46178.2019.9194677