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Analyze Human Genome Using Big Data

Journal: International Journal of Science and Research (IJSR) (Vol.3, No. 5)

Publication Date:

Authors : ; ;

Page : 1501-1507

Keywords : Hadoop; Crossbow; Data Warehousing; Big Data; Human Genome; Map Reduce; Pipelined;

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As day by day population increase or internet user’s increases, our data also increase. One day we will be unable to handle these data manually or using data processing application or using handmade database management. Our data increases with the rate of 2.5 quintillion bytes per day. One quintillions means 10 30. So, we created 2.5 * 10 3 0 * 8 bit per day. In similar fashion scientist data is increases day by day in many areas like genomics, biological research, meteorology, simulation in physics etc. So we need some tool to handle it properly like Hadoop, Crossbow etc. .Because we are unable to search or store or transfer these large amounts of data. Hadoop uses map reduce method to handle it while Crossbow uses pipelined map reduced method to handle this data. So, performance increases and reliability also increases because result is obtained by analysis Big data which is much more important for biological research or genomics without knowing the implementation of parallelism at lower level.

Last modified: 2014-07-03 16:50:42