文章基本信息

标题：Analyzing Varieties of Agricultural Data Using Big Data Tools Pig
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作者：Bankim L. Radadiya ; Parag Shukla
期刊名称：Oriental Journal of Computer Science and Technology
印刷版ISSN：0974-6471
出版年度：2017
卷号：10
期号：4
页码：810-816
语种：English
出版社：Oriental Scientific Publishing Company
摘要：Day by day, data is growing rapidly. Analysis of the data is necessity. As per recent survey data generated in last 2 years is more than the data created in entire previous history of human. Data created in different form and in diversified manner. It can be structured, it can be semi-structured, or it can be unstructured. To analyze diversified by agricultural data we can use the tools of Big Data like Pig. Using Pig, we can analyze varieties of data. Pig is a platform for analysis of data. Biggest advantage of Pig is it can process any diversified data very quickly and allows us to use user defined functions. Use Case of Pig is ETL. It is used to extract the data from sources then after applying transformation we can load it into the data warehouse. We will do analysis of state wise proportion circulation of Numeral of operative properties for all societal collections in 2005-06 and 2010-11 using Pig.
关键词：Analysis ; Pig ; Varieties ; Agricultural data ; Big Data Tools ; Structured ; Semi-Structured ; Unstructured.