An Analytical Study on Big Data and Hadoop

Mr. Sagar Sureshrao KalbandeMCA-III, Department of Research and PG Studies in Science & Management, Vidyabharati Mahavidyalaya, Amravati, IndiaMr. Shubham Anil PardakheMCA-III, Department of Research and PG Studies in Science & Management, Vidyabharati Mahavidyalaya, Amravati, IndiaProf. Anurag DwivediMCA-III, Department of Research and PG Studies in Science & Management, Vidyabharati Mahavidyalaya, Amravati, India

Vol 4 No 1 (2020): Volume 4, Issue 1, January 2020 | Pages: 13-16

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 06-01-2020

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Abstract

The term “big data” describes innovative techniques and technologies for capturing, storing, distributing, managing and analyzing quantities of data in peta bytes or large format at high speed and with different structures. Big data can be structured, unstructured or semi-structured, which leads to the inability of conventional methods of organizing data. Big data is data whose scope, variety and complexity require new architectures, techniques, algorithms and analyzes in order to process it and to extract hidden values ​​and knowledge. Hadoop is the basic platform for structuring big data and solves the problem of making it useful for analytical purposes.

Keywords

Big Data, Hadoop, Map Reduce, HDFS, Hadoop Components


Citation of this Article

Mr. Sagar Sureshrao Kalbande, Mr. Shubham Anil Pardakhe, Prof. Anurag Dwivedi, “An Analytical Study on Big Data and Hadoop” Published in International Research Journal of Innovations in Engineering and Technology (IRJIET), Volume 4, Issue 1, pp 13-16, January 2020.

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