A Study on Hadoop and Map Reduce (MR) Architecture

Author(s)	Yushra Parveen, Dr. Ajay Singh, Dr. (Prof.) Pushpneel Verma
Country	India
Abstract	Apache Hadoop is an open-source programming system for dispersed capacity and disseminated preparing of huge informational indexes on PC bunches worked from item equipment. Every one of the modules in Hadoop are outlined with a principal presumption that equipment disappointments are normal and ought to be naturally taken care of by the structure. The center of Apache Hadoop comprises of a capacity part and a preparing part which is otherwise called Hadoop circulated record framework (HDFS) and Map Reduce separately. Hadoop parts records into expansive squares and disseminates them crosswise over hubs in a bunch.
Field	Engineering
Published In	Volume 6, Issue 1, January-February 2024
Published On	2024-01-24
Cite This	A Study on Hadoop and Map Reduce (MR) Architecture - Yushra Parveen, Dr. Ajay Singh, Dr. (Prof.) Pushpneel Verma - IJFMR Volume 6, Issue 1, January-February 2024. DOI 10.36948/ijfmr.2024.v06i01.12639
DOI	https://doi.org/10.36948/ijfmr.2024.v06i01.12639
Short DOI	https://doi.org/gtfzvh

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International Journal For Multidisciplinary Research