International Journal of Emerging Trends & Technology in Computer Science
A Motivation for Recent Innovation & Research
ISSN 2278-6856
www.ijettcs.org

Call for Paper, Published Articles, Indexing Infromation A Rapid Data Retrieval in Big Data Environment using HummingBird Algorithm, Authors : S. Selvakanmani, C. Kanchana, International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), www.ijettcs.org
Volume & Issue no: Volume 5, Issue 2, March - April 2016

Title:
A Rapid Data Retrieval in Big Data Environment using HummingBird Algorithm
Author Name:
S. Selvakanmani, C. Kanchana
Abstract:
Abstract A Range Aggregate Query (RAQ) is a mechanism where the range servers are tenacious aggregate queries inquest information in numerous servers i.e. splitting the queries and inquest the information. Disparate data are cluster into single page. Data records are temperate and uploaded by the admin where the uploaded files are unstructured files; admin alone can recast the content and update it. Data records are stored in Hadoop Distributed File System (HDFS) which act as database. Balance Partitioning is done in numerous queries. If any queries are not found, redirection process takes place. Queries process in the format of m:n i.e. m aggregate columns and n index columns in a same record. Hummingbird algorithm is used to retrieve the queries accurately and efficiently. Irrelevant features are ejected from the database and elite inquest are appeared to the end user. Keywords: Hadoop, HDFS, Cloudera, Hive, Hummingbird algorithm.
Cite this article:
S. Selvakanmani, C. Kanchana , " A Rapid Data Retrieval in Big Data Environment using HummingBird Algorithm " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), Volume 5, Issue 2, March - April 2016 , pp. 218-224 , ISSN 2278-6856.
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