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Big Data & Data Science: A Descriptive Research on Big Data Evolution and a Proposed Combined Platform by Integrating R and Python on Hadoop for Big Data Analytics and Visualization

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Published:20 March 2020Publication History

ABSTRACT

In this technological era, Big Data is a new glorified term in where Data Science is the secret sauce of it. Undoubtedly, the digitalization of data is not the whole story; it is just a beginning of Data Science area of study. There was a time when the main focus was on building framework and processing of this data. After Hadoop HDFS and MapReduce resolved this issue already typically the concentration will follow to the next level. In terms of this, Big Data on Data Science becoming the most hyped solving area. At the moment of zettabytes data, R, Python, Hadoop all are in progressing phase in where integration among individual framework and tools will be highlighted and newest data handling tools are integrating with latest technology in terms of analytics competence. There will be a positivity when this integration will expose a new horizon for researchers and develop the preeminent solution based on the challenges.

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  1. Big Data & Data Science: A Descriptive Research on Big Data Evolution and a Proposed Combined Platform by Integrating R and Python on Hadoop for Big Data Analytics and Visualization

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    • Published in

      cover image ACM Other conferences
      ICCA 2020: Proceedings of the International Conference on Computing Advancements
      January 2020
      517 pages
      ISBN:9781450377782
      DOI:10.1145/3377049

      Copyright © 2020 Owner/Author

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 20 March 2020

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