Towards MapReduce Performance Optimization: A Look into the Optimization Techniques in Apache Hadoop for BigData Analytics
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Survey Paper | Computer Science & Engineering | India | Volume 3 Issue 7, July 2014

Towards MapReduce Performance Optimization: A Look into the Optimization Techniques in Apache Hadoop for BigData Analytics

Kudakwashe Zvarevashe, Dr. A Vinaya Babu

The evolution of data over the years has since lead to the need to have efficient processing and storage techniques. We know live in the era in which BigData is one of the most talked issues together with the problems associated with it. This has lead to the development of Apache Hadoop and NoSQL databases to alleviate these problems. MapReduce has been the backbone and heart of Apache Hadoop a software tool designed for the distributed processing and storage of these massive datasets. Many researchers over the years have since tried to find ways to improve the MapReduce process performance and so many techniques have been designed. In this paper we expose all these techniques in an effort to reveal other research avenues in this domain.

Keywords: MapReduce, big data, hadoop, processing, storage, NoSQL, techniques

Edition: Volume 3 Issue 7, July 2014

Pages: 1933 - 1937

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How to Cite this Article?

Kudakwashe Zvarevashe, Dr. A Vinaya Babu, "Towards MapReduce Performance Optimization: A Look into the Optimization Techniques in Apache Hadoop for BigData Analytics", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=201564, Volume 3 Issue 7, July 2014, 1933 - 1937

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