Big Data Analytics in Aquaculture Using Hive and Hadoop Platform

Content Provider	Semantic Scholar
Author	Rao, Pallipamu Venkateswara Reddy, A. Ramamohan Sucharita, V.
Copyright Year	2018
Abstract	In the field of Aquaculture with the help of digital advancements huge amount of data is constantly produced for which the data of the aquaculture has entered in the big data world. The requirement for data management and analytics model is increased as the development progresses. Therefore, all the data cannot be stored on single machine. There is need for solution that stores and analyzes huge amounts of data which is nothing but Big Data. In this chapter a framework is developed that provides a solution for shrimp disease by using historical data based on Hive and Hadoop. The data regarding shrimps is acquired from different sources like aquaculture websites, various reports of laboratory etc. The noise is removed after the collection of data from various sources. Data is to be uploaded on HDFS after normalization is done and is to be put in a file that supports Hive. Finally classified data will be located in particular place. Based on the features extracted from aquaculture data, HiveQL can be used to analyze shrimp diseases symptoms.
Starting Page	29
Ending Page	35
Page Count	7
File Format	PDF HTM / HTML
DOI	10.4018/978-1-5225-2947-7.ch002
Alternate Webpage(s)	https://www.igi-global.com/viewtitlesample.aspx?id=187889&ptid=179213&t=big+data+analytics+in+aquaculture+using+hive+and+hadoop+platform
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article