Big Data Framework for storage Extraction and Identification of Data using Hadoop Distributed File system

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Abstract

Big data is all about the developing challenge that associations face in today’s world, As they manage enormous and quickly developing wellsprings of information or data, with the complex range of analysis and the problem includes computing infrastructure, accessing mixed data both structured and unstructured data from various sources such as networking, Recording and stored images. Hadoop is the open source software framework includes no of compartments that are specifically designed for solving large-scale distributed data storage. MapReduce is a parallel programming design for processing

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Big Data Framework for storage Extraction and Identification of Data using Hadoop Distributed File system. (2019). International Journal of Innovative Technology and Exploring Engineering, 9(2S3), 392–394. https://doi.org/10.35940/ijitee.b1002.1292s319

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