• GURSEWAK SINGH
• DEEPAK DHAWAN

Big data is a collection of large data sets that include data of different types such as structured, unstructured and semi-structured. This data can be generated from different sources like social media, audios, images, log files, sensor data, transactional applications, web etc. To process, analyse or extracting meaningful information from this huge amount of data is a challenging task. Big data exceeds the processing capacity of conventional database system becausetraditional database management tools or statistics tools face difficulty in capturing, analysis, storing, sharing, visualization and managing the voluminous amount of data. Big data require new architecture, techniques, algorithms, and analytics to manage data and extract valuable knowledge present in hidden form from it. Hadoop is the solution of these Challenges. Hadoop is the core platform for structuring Big Data, and solves the problem of making it useful for analytics purposes. Hadoop is an open source software project of Apache Foundation that enables the distributed processing of large data sets across clusters of computers using simple programming model. It is designed to scale up from a single server to thousands of machines, with a very high degree of fault tolerance.This paper first discusses the general introduction of Big data then focus on Hadoop platform. Hadoop and its components which comprise of MapReduce and Hadoop Distributed File System (HDFS) are discussed in detail. In last, aMapReduce Job is performed in Hadoop which reads text files and counts how often word occurs in a given text.

MapReduce, Hadoop, JobTracker,TaskTracker

"MAPREDUCE JOB IN BIG DATA PROCESSING USING HADOOP", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.653-659, April-2019, Available :http://www.jetir.org/papers/JETIR1904R02.pdf

"MAPREDUCE JOB IN BIG DATA PROCESSING USING HADOOP", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp653-659, April-2019, Available at : http://www.jetir.org/papers/JETIR1904R02.pdf