Please use this identifier to cite or link to this item:
Title: Processing Real World Datasets using Big Data Hadoop Tools
Authors: Deshai, N
Sekhar, B V D S
Reddy, P V G D Prasad
Chakravarthy, V V S S S
Keywords: Apache Spark;Big Data;Hadoop;Map Reduce
Issue Date: Jul-2020
Publisher: NISCAIR-CSIR, India
Abstract: Today’s digital world computations are extremely difficult and always demands essential requirements to significantly process and store an enormous size of datasets. Therefore, this is mostly structured, semi-structured and unstructured generated data with more velocity at beyond the limits and double day by day from a wide variety of applications. In the last decade, many organizations have been facing major problems in handling and processing massive chunks of data, which could not be processed efficiently due to the lack of enhancements on existing technologies. This paper, introduce advanced data processing tools to solve the extreme problems as efficiently by using the most recent and world’s primary powerful Map-Reduce framework, but it has few data processing issues. Therefore, recently Apache Spark fastest tool has introduced to overcome the limitations of Map Reduce.
Page(s): 631-635
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.79(07) [July 2020]

Files in This Item:
File Description SizeFormat 
JSIR 79(7) 631-635.pdf139.61 kBAdobe PDFView/Open

Items in NOPR are protected by copyright, with all rights reserved, unless otherwise indicated.