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Big Data Components for Business Process Optimization

Author

Listed:
  • Mircea Raducu TRIFU

    ()

  • Mihaela-Laura IVAN

    ()

Abstract

In these days, more and more people talk about Big Data, Hadoop, noSQL and so on, but very few technical people have the necessary expertise and knowledge to work with those concepts and technologies. The present issue explains one of the concept that stand behind two of those keywords, and this is the map reduce concept. MapReduce model is the one that makes the Big Data and Hadoop so powerful, fast, and diverse for business process optimization. MapReduce is a programming model with an implementation built to process and generate large data sets. In addition, it is presented the benefits of integrating Hadoop in the context of Business Intelligence and Data Warehousing applications. The concepts and technologies behind big data let organizations to reach a variety of objectives. Like other new information technologies, the main important objective of big data technology is to bring dramatic cost reduction.

Suggested Citation

  • Mircea Raducu TRIFU & Mihaela-Laura IVAN, 2016. "Big Data Components for Business Process Optimization," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 20(1), pages 72-78.
  • Handle: RePEc:aes:infoec:v:20:y:2016:i:1:p:72-78
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