Big Data Framework for Indian Green Coffee Export Demand Modeling and Descriptive Analysis using Nosql-MONGODB

EasyChair Preprint 6919

Abstract

Big data is creating many opportunities for different and diverse fields to achieve deeper and faster insights that can enhance the decision making. This paper addresses, analyzing and forecasting the export trend in Indian Green Coffee using various descriptive analytics and visualization techniques. With the rapid growth of technologies, large amount of data is produced from different sources that can either be structured or unstructured. Such type of data is very difficult to process and manage as it contains millions of records of information sourced from social media, web sales, audios, videos, images etc. Timely analysis of this data is a key factor for success in many business and service domains. Calculating descriptive statistics is a vital step while conducting research and should always be done before making inferential statistical comparisons. For this purpose MongoDB (Nosql) is made extensive use of in this paper.

Keyphrases: BigData, Descriptive Analytics, Indian Green Coffee, MongoDB.

@booklet{EasyChair:6919,
  author    = {Saivijayalakshmi Janakiraman and N Ayyanathan},
  title     = {Big Data Framework for Indian Green Coffee Export Demand Modeling and Descriptive Analysis using Nosql-MONGODB},
  howpublished = {EasyChair Preprint 6919},
  year      = {EasyChair, 2021}}