Oriental Journal of Computer Science and Technology

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Analyzing Varieties of Agricultural Data Using Big Data Tools Pig


Affiliations
1 Navsari Agricultural University, Navsari, Gujarat, India
2 Department of MCA, Atmiya Institute of Technology & Science, Rajkot–360005, India
 

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.

Keywords

Analysis, Pig, Varieties, Agricultural Data, Big Data Tools, Structured, Semi-Structured, Unstructured.
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  • https://data.gov.in/resources/state-wise-percentage-distribution-number-operational-holdings-all-social-groups-during

  • Apache Pig, https://pig.apache.org/

  • Apache Pig Architecture and components of Pig [online resource]https://www.tutorialspoint.com/apache_pig/apache_pig_architecture.htm

  • Pig Philosophy, https://pig.apache.org/philosophy.html

  • Hive Vs Pig [online resource] http://www.bigdataanalyst.in/hive-vs-pig/

  • Big Data and Analytics – Wiley Publication, Seema Acharya, Subhashini Chellapan

  • Dr. Birendra Goswami, Pradip Kumar Chandra "The Evolution Of Big Data As A Research And Development" International Journal of Scientific Research and Engineering Studies (IJSRES) Volume 2 Issue 3, March 2015 ISSN: 2349-8862

  • Online Resource https://data.gov.in/


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  • Analyzing Varieties of Agricultural Data Using Big Data Tools Pig

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Authors

Bankim L. Radadiya
Navsari Agricultural University, Navsari, Gujarat, India
Parag Shukla
Department of MCA, Atmiya Institute of Technology & Science, Rajkot–360005, India

Abstract


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.

Keywords


Analysis, Pig, Varieties, Agricultural Data, Big Data Tools, Structured, Semi-Structured, Unstructured.

References





DOI: https://doi.org/10.13005/ojcst%2F10.04.16