Year: 2015
Type: article
Abstract: There is an explosion in the volume of data in the world.The amount of data is increasing by leaps and bounds.The sources are individuals, social media, organizations, etc.The data may be structured, semi-structured or unstructured.Gaining knowledge from this data and using it for competitive advantage is the primary focus of all the organizations.In the last few years Big Data has found its way in almost every field, from government to private sectors, industry to academia.The major challenges associated with Big Data are data organization, modeling, data analysis and retrieval.Hadoop is a widely used software framework used for the large scale management and analysis of data.The main components of Hadoop: HDFS and MapReduce, enable the distributed storage and processing of data over a large number of commodity servers.This paper provides an overview of MapReduce and its capabilities and discusses the related issues.
DOI: 10.5120/21370-4411
Authors: Somya Singh, Neetu Narayan, Gaurav Raj
Institution: Amity University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W2407547522