2017•International Journal Of Engineering And Computer ScienceRequires access

Survey of MapReduce on Big Data

Mr.A.Antony Prakash, Annie Aloysius

Open publisher page 0 citations

Abstract

As of recent trends, this is a persistent challenge of integration of cloud computing, data mining and big data mining processes. This paper reveals most recent progress on Hadoop and MapReduce applications. Hadoop and MapReduce can be used for analyzing enormous amount of data. Hadoop is an open source software project used to processing a large data sets. MapReduce is a programming model that associated implementation for parallel processing of large dataset. Big data environment is used to acquire, organize and analyze the various types of data. There is an observation about MapReduce framework. This framework generates large amount of intermediate data.

About this research paper

What this paper is about

As of recent trends, this is a persistent challenge of integration of cloud computing, data mining and big data mining processes. This paper reveals most recent progress on Hadoop and MapReduce applications. Hadoop and MapReduce can be used for analyzing enormous amount of data. Hadoop is an open source software project used to processing a large data sets. MapReduce is a programming model that associated implementation for parallel processing of large dataset. Big data environment is used to acquire, organize and analyze the various types of data. There is an observation about MapReduce framework. This framework generates large amount of intermediate data.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

As of recent trends, this is a persistent challenge of integration of cloud computing, data mining and big data mining processes. This paper reveals most recent progress on Hadoop and MapReduce applications. Hadoop and MapReduce can be used for analyzing enormous amount of data. Hadoop is an open source software project used to processing a large data sets. MapReduce is a programming model that associated implementation for parallel processing of large dataset. Big data environment is used to acquire, organize and analyze the various types of data. There is an observation about MapReduce framework. This framework generates large amount of intermediate data.

Key concepts: Computer science, Big data, Data science, Data mining

Related papers

Back to paper searchBrowse research topicsOriginal source
Survey of MapReduce on Big Data — Research Paper | ScholarLens