Prediction of sales using Big data analytics

Authors

  • I. Karthika Assistant Professor,x M.Kumarasamy College of Engineering, Karur, Tamil Nadu, India
  • P. Gokulraj Assistant Professor,M.Kumarasamy College of Engineering, Karur, Tamil Nadu, India
  • S. Saravanan Assistant Professor,M.Kumarasamy College of Engineering, Karur, Tamil Nadu, India

DOI:

https://doi.org/10.24297/jac.v12i20.591

Keywords:

FLUME, HIVE, HDFS, Smart data

Abstract

Social media is a main source of collecting big-data. Data analysis converting their bigger data  to smart data. Smart data is acquired with the help of Apache Flume, Apache hive and Apache HDFS, smart data increase the sales of Marketing industry. It helps product owner to analyze people’s opinion about their product and consumer can analyze the reviews of  product before purchase. If tweets came along with Location, data analyzed based on the location.

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Author Biographies

I. Karthika, Assistant Professor,x M.Kumarasamy College of Engineering, Karur, Tamil Nadu, India

Department of Computer Science and Engineering.

P. Gokulraj, Assistant Professor,M.Kumarasamy College of Engineering, Karur, Tamil Nadu, India

Department of Computer Science and Engineering.

S. Saravanan, Assistant Professor,M.Kumarasamy College of Engineering, Karur, Tamil Nadu, India

Department of Computer Science and Engineering.

References

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Published

2016-12-15

How to Cite

Karthika, I., Gokulraj, P., & Saravanan, S. (2016). Prediction of sales using Big data analytics. JOURNAL OF ADVANCES IN CHEMISTRY, 12(20), 5237–5242. https://doi.org/10.24297/jac.v12i20.591

Issue

Section

Articles