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Big Data Analytics With Business Intelligence: A Survey

Author

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  • Revati. K
  • Padmashree. V
  • Veeresh Hiremath
  • Vinutha
  • D. C
  • Chandini
  • S. B

Abstract

Everything in today’s world stands on data. Usage of many applications is resulting in the generation of several petabytes of data every day. This generated data is very important in order to take business decisions. Thus to analyse this big data business intelligence systems are built. There are many platforms to perform this analysis such as hadoop, spark, orange etc. and also there are many algorithms to perform scheduling such as FCFS, capacity scheduling, priority scheduling, shortest job scheduling etc. The main aim of this paper is to build an efficient business intelligence system which uses a scheduling algorithm called MSHEFT-“Memory sensitive heterogeneous earliest finish time”.

Suggested Citation

  • Revati. K & Padmashree. V & Veeresh Hiremath & Vinutha & D. C & Chandini & S. B, 2018. "Big Data Analytics With Business Intelligence: A Survey," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 4(6), pages 434-437, May.
    • Handle: RePEc:jbh:ijsrcs:v4:y2018:i6:id:hcseit184681
    Note: Article URL: https://ijsrcseit.com/CSEIT184681
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