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Publication Type : Conference Paper
Publisher : 2015 International Conference on Green Computing and Internet of Things (ICGCIoT), IEEE,
Source : 2015 International Conference on Green Computing and Internet of Things (ICGCIoT), IEEE, Greater Noida on the beautiful campus of Galgotias Institutions (2015)
Url : https://ieeexplore.ieee.org/document/7380530
Keywords : Apache Hadoop, Arrays, Big data, Computers, data analysis, Data Architecture, Data integration, exponential growth, Green computing, Internet of things, machine generated data, Map Reduce, modern data architecture, Parallel processing, PROGRAMMING, Zeta Byte
Campus : Bengaluru
School : Department of Computer Science and Engineering, School of Engineering
Department : Computer Science
Year : 2015
Abstract : This paper represents the analysis of the existing architecture framework used across domains. It also emphasizes on the modern architecture in integration with apache Hadoop. The existing data architecture is under pressure from new data and machine generated data for the upcoming years that is due to emergence of new data types there has been tremendous pressure on all the data systems within an enterprise over the years. An Exponential Growth has been estimated from 2.8 Zeta Byte of data in 2012 to grow to 40 Zeta Byte by 2020 and new data type growth is estimated to be eighty five percent with computer created information being expanded to 15 times all the more by 2020.
Cite this Research Publication : Dr. Tripty Singh and S, D. V., “A modern data architecture with apache Hadoop”, in 2015 International Conference on Green Computing and Internet of Things (ICGCIoT), Greater Noida on the beautiful campus of Galgotias Institutions , 2015.