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Efficient Indexing and Searching of Big Data in HDFs

D.Deepika 1 , K.Pugazhmathi 2

Section:Research Paper, Product Type: Journal Paper
Volume-4 , Issue-4 , Page no. 237-243, Apr-2016

Online published on Apr 27, 2016

Copyright © D.Deepika, K.Pugazhmathi . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: D.Deepika, K.Pugazhmathi, “Efficient Indexing and Searching of Big Data in HDFs,” International Journal of Computer Sciences and Engineering, Vol.4, Issue.4, pp.237-243, 2016.

MLA Style Citation: D.Deepika, K.Pugazhmathi "Efficient Indexing and Searching of Big Data in HDFs." International Journal of Computer Sciences and Engineering 4.4 (2016): 237-243.

APA Style Citation: D.Deepika, K.Pugazhmathi, (2016). Efficient Indexing and Searching of Big Data in HDFs. International Journal of Computer Sciences and Engineering, 4(4), 237-243.

BibTex Style Citation:
@article{_2016,
author = {D.Deepika, K.Pugazhmathi},
title = {Efficient Indexing and Searching of Big Data in HDFs},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2016},
volume = {4},
Issue = {4},
month = {4},
year = {2016},
issn = {2347-2693},
pages = {237-243},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=927},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=927
TI - Efficient Indexing and Searching of Big Data in HDFs
T2 - International Journal of Computer Sciences and Engineering
AU - D.Deepika, K.Pugazhmathi
PY - 2016
DA - 2016/04/27
PB - IJCSE, Indore, INDIA
SP - 237-243
IS - 4
VL - 4
SN - 2347-2693
ER -

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Abstract

Efficient indexing is an efficient, standard data structure, most suited for look operation over an exhaustive set of data. The enormous set of data is mostly unstructured furthermore, does not fit into traditional database categories. Extensive scale preparing of such data needs a dispersed structure such as Hadoop where computational assets could easily be shared furthermore, accessed. An execution of a look motor in Hadoop over millions of Wikipedia reports utilizing an transformed record data structure would be conveyed out for making look operation more accomplished. Transformed record data structure is utilized for mapping a word in a record or set of records to their relating locations. A hash table is utilized in this data structure which stores each word as record furthermore, their relating areas as its values thereby providing simple lookup furthermore, extremely of data making it suitable for look operations.

Key-Words / Index Term

Hadoop; Enormous Data; Efficient Indexing; Data Structure

References

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