Title: R and Hadoop Integration for Big Data Analytics
Abstract: Big data is affecting every walk of life right from mobile maps, GPS, online shopping, wearable gadgets to our day-to-day activities. Data generated are in terabytes which if collected and mined properly can infer important results for decision making and planning in business, education, health care, etc. So, big data analytics are in demand. Big data analytics require a tool for data analysis and a platform for parallel computing. R is one of the most robust languages for data science, whereas Hadoop is distributed computing framework to handle big data processing. R and Hadoop integration seems to be a perfect combination for data analytics. In this paper, we have explored major big data technologies available and also compared major data analytics languages being used nowadays. We have discussed procedures for combining R and Hadoop to get best of the two in analysing big data. This paper will be beneficial for researchers who are working in the area of big data analysis.
Publication Year: 2021
Publication Date: 2021-01-01
Language: en
Type: book-chapter
Indexed In: ['crossref']
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Cited By Count: 2
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