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Authors
Affiliations
1 Department of MCA, Atmiya Institute of Technology and Science, Rajkot – 360005, IN
2 Navsari Agricultural University, Navsari - 396445, IN
3 J. H. Bhalodiya Women's College, Rajkot - 360005, IN
Source
Oriental Journal of Computer Science and Technology, Vol 8, No 2 (2015), Pagination: 164-169
Abstract
The data in amount of large size in world is growing day by day. Data is growing because of use of digitization, internet, smart cell and social media and networking. A collection of data sets which is very large in size as well as complex is called Big Data which is use in current trend and next generation data transformation, data analysis and data storage of agricultural crops, seeds, works, labors, tools and environment data. Generally before current scenario, size of the data is measure in Megabyte and Gigabyte but now a day it measure in Petabyte and Exabyte.
Traditional database systems are not able to capture, store and analyze this large scale of data. As the internet is growing, amount of big data continue to grow. Big data analytics provide new ways for businesses updates and requirement for updating and government to analyze unstructured data. Now a days, Big data is one of the most important and challenging point in information technology world. It is executing very important role in future.
Big data changes the way of world for management and use big amount of data. Some of the applications are in areas such as medical issues, healthcare, traffic issues, banking management, retail management, education and so on. Organizations are becoming more reliable&flexible and more open. Figure 2 is display a big data and analytics road map for large amount of data analysis and storage.
Keywords
Big Data, Faster Analyzing of High Volume Data, Verities of Data, Next Generation, Big Amount Data Search, No Sql Database, Traditional Database, Big Data Analysis, Volume, Verities of Data, Velocity, Veracity, Agricultural Environment.
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