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Implementing and Analyzing Big Data Techniques withSpring Frame Work in Java& J2EEBased Application

Published: 04 March 2016 Publication History

Abstract

In the time of big data techniques with spring framework on java, web servers or application server as the significant channel in big data should be updated to meet execution and force imperatives. Significant endeavors have been put resources into web server or application server conveyance and web storing procedures, but very few efforts have been paid to improve hardware-favored web type services. Big Data with spring framework in java is a promising business and computing model in web framework. Spring is the most popular open source Java application Framework. It combines all the industry-standard frameworks (for e.g. Struts and Hibernate) and approaches into one bundle.The expense and working costs of data centers have skyrocketed with the increase in computing capacity.Big data is a concept that defines the large volume of both structured and unstructured data -- that inundates a business on a day-to-day environment. This research argues the need to provide novel method and tools to bolster programming engineers meaning to enhance vitality productivity and minimize the subsequent from outlining, creating, sending and running programming in Big Data with spring framework.

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Cited By

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  • (2020)Analysis of Diabetes and Heart Disease in Big Data Using MapReduce FrameworkInternational Conference on Innovative Computing and Communications10.1007/978-981-15-5113-0_3(37-51)Online publication date: 2-Aug-2020
  • (2020)Genetic Variance Study in Human on the Basis of Skin/Eye/Hair Pigmentation Using Apache SparkInternational Conference on Innovative Computing and Communications10.1007/978-981-15-1286-5_31(371-379)Online publication date: 29-Feb-2020
  • (2018)Big Data Analytics in Ralstonia solanacearum GenomicsAdvanced Informatics for Computing Research10.1007/978-981-13-3140-4_10(98-107)Online publication date: 12-Dec-2018
  • Show More Cited By

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cover image ACM Other conferences
ICTCS '16: Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies
March 2016
843 pages
ISBN:9781450339629
DOI:10.1145/2905055
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 March 2016

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Author Tags

  1. Big Data
  2. Hadoop Framework
  3. J2ee
  4. Java
  5. spring

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ICTCS '16

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Overall Acceptance Rate 97 of 270 submissions, 36%

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Cited By

View all
  • (2020)Analysis of Diabetes and Heart Disease in Big Data Using MapReduce FrameworkInternational Conference on Innovative Computing and Communications10.1007/978-981-15-5113-0_3(37-51)Online publication date: 2-Aug-2020
  • (2020)Genetic Variance Study in Human on the Basis of Skin/Eye/Hair Pigmentation Using Apache SparkInternational Conference on Innovative Computing and Communications10.1007/978-981-15-1286-5_31(371-379)Online publication date: 29-Feb-2020
  • (2018)Big Data Analytics in Ralstonia solanacearum GenomicsAdvanced Informatics for Computing Research10.1007/978-981-13-3140-4_10(98-107)Online publication date: 12-Dec-2018
  • (2018)Handling Big Data Using MapReduce Over Hybrid CloudInternational Conference on Innovative Computing and Communications10.1007/978-981-13-2354-6_16(135-144)Online publication date: 20-Nov-2018

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