Survey Using Big Data Tools for Doing Rainfall Prediction
A. Saranya1, R. Anandan2
1A. Saranya, Research Scholar, Department of Computer Science & Engineering, VELS Institute of Science and Technology, Chennai (Tamil Nadu), India.
2Dr. R. Anandan, Professor, Department of Computer Science & Engineering, VELS Institute of Science and Technology, Chennai (Tamil Nadu), India.
Manuscript received on 25 April 2019 | Revised Manuscript received on 03 May 2019 | Manuscript Published on 08 May 2019 | PP: 503-506 | Volume-7 Issue-5S3 February 2019 | Retrieval Number: E11890275S19/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Big data collect large volume of data and gives the analysis of the data obtained using the Hadoop Framework in a fast and more efficient manner which is very accurate and makes our work very easy. Rainfall data is collected from the data set obtained and using Sqoop tool we get the data from MySql to HDFS architecture. The HDFS is mainly the database of Hadoop architecture which stores the data and distributes it to the various tools of Hadoop. It performs the accumulation of data in a way which makes decision analysis for the final output easy to obtain. Hence in our project we are focusing on getting the data from the data set and storing it in HDFS to get the analysis by Hadoop framework using Hive, Map Reduce and Pig to get the output of result which consists of all the analysis of rainfall in a city for all the years and give a clear perspective of the state of rainfall in the city at any moment of the year and also the analysis is shown through bar graph and pie chart which makes the understanding of analysis a little easier and it brings a little more significance to our work.
Keywords: Hadoop, MySql, HDFS, Hive, MapReduce, Pig, Sqoop.
Scope of the Article: Big Data Security