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2014•International Journal of Computer Trends and TechnologyRequires access

Data Science: Bigtable, MapReduce and Google File System

Karan B. Maniar, Chintan B. Khatri

Open publisher page 8 citations

Abstract

Data science is the extension of research findings and drawing conclusions from data[1]. BigTable is built on a few of Google technologies[2]. MapReduce is a programming model and an associated implementation for processing and generating large data sets with a parallel, distributed algorithm on a cluster[3]. Google File System is designed to provide efficient, reliable access to data using large clusters of commodity hardware[4]. This paper will discuss Bigtable, MapReduce and Google File System, along with discussing the top 10 algorithms in data mining in brief.

About this research paper

What this paper is about

Data science is the extension of research findings and drawing conclusions from data[1]. BigTable is built on a few of Google technologies[2]. MapReduce is a programming model and an associated implementation for processing and generating large data sets with a parallel, distributed algorithm on a cluster[3]. Google File System is designed to provide efficient, reliable access to data using large clusters of commodity hardware[4]. This paper will discuss Bigtable, MapReduce and Google File System, along with discussing the top 10 algorithms in data mining in brief.

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OpenAlex reports 8 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Data science is the extension of research findings and drawing conclusions from data[1]. BigTable is built on a few of Google technologies[2]. MapReduce is a programming model and an associated implementation for processing and generating large data sets with a parallel, distributed algorithm on a cluster[3]. Google File System is designed to provide efficient, reliable access to data using large clusters of commodity hardware[4]. This paper will discuss Bigtable, MapReduce and Google File System, along with discussing the top 10 algorithms in data mining in brief.

Key concepts: Computer science, Database, File system, Operating system, World Wide Web

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