Saiba como aplicar o paradigma MapReduce para projetar algoritmos escaláveis e tolerantes a falhas para problemas como classificação, pesquisa, análise de gráficos e aprendizado de máquina.

This repository contains the implementation of a basic MapReduce framework simulation as part of the Operating Systems course project. The project demonstrates key operating system concepts, including ...

In recent years the MapReduce framework has become one of the most popular parallel computing platform for processing big data. It is frequently used by companies such as Facebook, IBM, and Google.

Implementations of TFIDF mapreduce algorithm using Spark and Hadoop streaming. Consider the problem of calculating the TF-IDF score for each word in a set of documents for each document. Provide a ...

In this paper, the authors have implemented an efficient MapReduce Apriori algorithm (MRApriori) based on Hadoop-MapReduce model which needs only two phases (MapReduce Jobs) to find all frequent k ...

YARN, a typically-silly open source acronym for "yet another resource negotiator" factors out the management components of Hadoop 1.0's MapReduce engine from the MapReduce processing algorithm itself.