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Spark Streaming for Predictive Business Intelligence

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Soft Computing and Signal Processing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 898))

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.

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Author information

Authors and Affiliations

  1. Jawaharlal Nehru Technological University, Hyderabad, Hyderabad, India

    M. V. Kamal

  2. Andhra University, Vishakapatanum, India

    P. Dileep

  3. Department of CSE, JNTUCEH, Jawaharlal Nehru Technological University, Hyderabad, Hyderabad, India

    D. Vasumati

Authors
  1. M. V. Kamal
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  2. P. Dileep
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  3. D. Vasumati
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Corresponding author

Correspondence to M. V. Kamal .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Software Engineering, Monmouth University, West Long Branch, NJ, USA

    Jiacun Wang

  2. Department of Information Technology, National Institute of Technology Karnataka, Surathkal, Mangaluru, Karnataka, India

    G. Ram Mohana Reddy

  3. Department of Computer Science and Engineering, JNTUH College of Engineering Hyderabad, Hyderabad, Telangana, India

    V. Kamakshi Prasad

  4. Department of Electronics and Communication Engineering, Malla Reddy College of Engineering & Technology, Secunderabad, Telangana, India

    V. Sivakumar Reddy

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Kamal, M.V., Dileep, P., Vasumati, D. (2019). Spark Streaming for Predictive Business Intelligence. In: Wang, J., Reddy, G., Prasad, V., Reddy, V. (eds) Soft Computing and Signal Processing . Advances in Intelligent Systems and Computing, vol 898. Springer, Singapore. https://doi.org/10.1007/978-981-13-3393-4_30

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