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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Enhanced Single-Pass Algorithm for Efficient Indexing Using Hashing in Map Reduce Paradigm
verfasst von : Piyush Kumar Sinha, Prashant Joshi, Pooja Pundir, Manisha Negi, R. H. Goudar
Erschienen in: Intelligent Computing, Networking, and Informatics
Verlag: Springer India
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Abstract
Today the data in the world has reached beyond the sky limits and with the advancement of data-intensive applications there is a need to collect, analyze, process, and retrieve enormous datasets efficiently. This large datasets are popularly termed as “BIG DATA” which was coined by Roger Magoulas, director of market research at O’Reilly Media. To deal with these large datasets different approaches by various data scientists around the world grew and as a result scalable effectuations of information retrieval (IR) operations have become a necessity. MapReduce [1, 2] programming model (Apache’s Hadoop [3], an open source implementation of MapReduce) has emerged as a very effective tool to handle large volume of data in distributed environment. Here with our work we are extending the technique of indexing large data using Single-Pass with hash implementation over MapReduce framework.