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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Survey on MapReduce and Hadoop |
| Authors Name: | Patel Ahad , Kapratwar Abhishek , Khandagale Nikita , Helwade Rishikesh , Kamble A.S |
| Unique Id: | IJSDR1811074 |
| Published In: | Volume 3 Issue 11, November-2018 |
| Abstract: | The word Big Data indicates to catch, regulate, process and analyze large amount of data that is structured, unstructured or semi-structured which has varying speed and growth. Analyzing such large and varying size of data is challenging using traditional structural databases. One of the important patterns in Big Data processing is HDFS which is better than the traditional structural databases. Hadoop is freely available software program. Hadoop being classified as a pivot platform for structuring Big Data and provides facility for analyzing the stored data. Hadoop can expand from a single machine to n number of machines depending on the demand of the users. This paper helps users to understand how Hadoop is better than the traditional structural databases for processing of Big Data and also gives a summary about how Map Reduce is used alongside with HDFS to do analysis on large datasets. |
| Keywords: | Hadoop, Map Reduce, Big Data, HDFS. |
| Cite Article: | "Survey on MapReduce and Hadoop", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 11, page no.422 - 424, November-2018, Available :http://www.ijsdr.org/papers/IJSDR1811074.pdf |
| Downloads: | 000337056 |
| Publication Details: | Published Paper ID: IJSDR1811074 Registration ID:180858 Published In: Volume 3 Issue 11, November-2018 DOI (Digital Object Identifier): Page No: 422 - 424 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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