Twitter Data Analysis on Natural Disaster Management System

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2017 by IJETT Journal
Volume-45 Number-8
Year of Publication : 2017
Authors : M.V.Sangameswar, Dr. M.Nagabhushana Rao, N.S.Murthy
DOI :  10.14445/22315381/IJETT-V45P273


M.V.Sangameswar, Dr. M.Nagabhushana Rao, N.S.Murthy " Twitter Data Analysis on Natural Disaster Management System ", International Journal of Engineering Trends and Technology (IJETT), V45(7),345-350 March 2017. ISSN:2231-5381. published by seventh sense research group

The objective of this paper is to comprehensively study the Data Structure Alignment in order to maximize storage potential and to provide for fast and efficient memory access. Aligning data elements allows the processor to fetch data from memory in an efficient manner and thereby improves performance. Alignment refers to the arrangement of data in memory and deals with the issue of accessing data in chunks of fixed size from the main memory.


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Big Data, Apache Hadoop, MapReduce, HDFS, FLUME, HIVE and Twitter