This project implements a Hadoop MapReduce-based word count analysis on the Enron Email Dataset, a publicly available collection of over 500,000 emails exchanged among employees of the Enron ...

$ olivine --help A command to fetch hadoop job histories. Usage: olivine [flags] olivine [command] Available Commands: help Help about any command plot Visualize data. version return versions. Flags: ...

Abstract: Hadoop cluster is widely used for executing and analyzing a large data like big data. It has MapReduce engine for distributing data to each node in cluster. Compression is a benefit way of ...

Analytic database platforms first implemented support for MapReduce, a parallel programming model for distributed computing, half a decade ago. In the open source world of the Apache Software ...

Abstract: Hadoop MapReduce is a widely used parallel computing framework for solving data-intensive problems. To be able to process large-scale datasets, the fundamental design of the standard Hadoop ...

Scheduling means different things depending on the audience. To many in the business world, scheduling is synonymous with workflow management. Workflow management is the coordinated execution of a ...

Hadoop introduced a new way to simplify the analysis of large data sets, and in a very short time reshaped the big data market. In fact, today Hadoop is often synonymous with the term big data. Since ...