ISSN : 2319-7323




INTERNATIONAL JOURNAL OF COMPUTER SCIENCE ENGINEERING


Open Access

ABSTRACT

Title : An Analysis on efficient column based storage structures in Big Data Analytics
Authors : J V N Lakshmi, Dr. Ananthi Sheshasayee
Keywords : Column Store, Data Analytics, HBase, Map Reduce, Hadoop, RC File, Row Store, Trojan Layout
Issue Date : January 2015
Abstract : Map Reduce-based data warehouse systems are playing important roles of supporting big data analytics to understand quickly the dynamics of user behavior trends and their needs in typical Web service providers and social network sites (e.g., Facebook). In such a system, the data placement structure is a critical factor that can affect the warehouse performance in a fundamental way. Based on analysis a system requires the data placement structure characterized as: (1) fast data loading, (2) highly efficient storage space utilization, and (3) strong adaptivity to highly dynamic workload patterns. This paper examines different table structures implemented on HDFS using Map Reduce model such as Table Placement Method, SLCG store, RC File, Hbase, Trojan Layout and Column store. Observation analyses that column based stores proves to be more sophisticated compared to row store.
Page(s) : 26-31
ISSN : 2319-7323
Source : Vol. 4, No.1