Analysis of Optimal Fetching Techniques in Big Data
Addressing the Challenges of Big Data Processing using Optimal Fetching Techniques and Hadoop
Keywords:
Big Data Applications, fetching techniques, data processing, performance, accuracy, responsiveness, flexibility, Hadoop, traditional system, digitizationAbstract
Big Data Applications has turned out to be progressively significant. Truth be told numerous companies are relying on learning extricated from tremendous measure of information. Anyway conventional information procedure demonstrates a decreased exhibition, exactness, slow responsiveness and absence of adaptability. To tackle the confounded Big Data issue, loads of work has been completed. Thus different sorts of advancements have been created. As the world is getting digitized the speed where the measure of information is over owing from various sources in various arrangement, it isn't workable for the customary framework to process and investigation this sort of big information for which big information instrument like Hadoop is utilized which is an open source programming.Published
2018-01-01
How to Cite
[1]
“Analysis of Optimal Fetching Techniques in Big Data: Addressing the Challenges of Big Data Processing using Optimal Fetching Techniques and Hadoop”, JASRAE, vol. 14, no. 2, pp. 1158–1163, Jan. 2018, Accessed: Mar. 16, 2025. [Online]. Available: https://ignited.in/index.php/jasrae/article/view/7361
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Section
Articles
How to Cite
[1]
“Analysis of Optimal Fetching Techniques in Big Data: Addressing the Challenges of Big Data Processing using Optimal Fetching Techniques and Hadoop”, JASRAE, vol. 14, no. 2, pp. 1158–1163, Jan. 2018, Accessed: Mar. 16, 2025. [Online]. Available: https://ignited.in/index.php/jasrae/article/view/7361