Tag: Hadoop MapReduce

Hadoop MapReduce vs. Apache Spark

Hadoop MapReduce vs. Apache Spark

The term big data has created a lot of hype already in the business world. Hadoop and Spark are both big data frameworks; they provide some of the most popular tools used to carry out common big data-related tasks. In this article, we will cover the differences between Spark and Hadoop MapReduce. Introduction Spark: It … Continue reading Hadoop MapReduce vs. Apache Spark

What is MapReduce? How it Works

What is MapReduce? How it Works

MapReduce is a programming model suitable for processing of huge data. Hadoop is capable of running MapReduce programs written in various languages: Java, Ruby, Python, and C++. MapReduce programs are parallel in nature, thus are very useful for performing large-scale data analysis using multiple machines in the cluster. MapReduce programs work in two phases: 1. … Continue reading What is MapReduce? How it Works