This program demonstrates Hadoop's Map-Reduce concept in Java using a very simple example. The input is raw data files listing earthquakes by region, magnitude and other information.

This Project provides a comparison between implementing the word count functionality using Hadoop and Java. Both Hadoop and Java offer different approaches to handle large-scale data processing tasks, ...

GUEST OPINION: One of the most popular trends in learning Hadoop is to process big data. Here's why Java developers should learn Hadoop. Java developers are known for developing robust and ...

Data indexing is common in data mining when working with high-dimensional, large-scale data sets. Hadoop, a cloud computing project using the MapReduce framework in Java, has become of significant ...

One company called Cloudera (which VentureBeat recently profiled) is commercializing the Java-based open source Hadoop implementation, but that may not be the most efficient.

SAN FRANCISCO -- VMware this week introduced its Spring Hadoop software, which is intended to make it easier for Java developers utilizing the Spring Framework to leverage Apache Hadoop data ...

Microsoft's getting into the Hadoop game, and people are skeptical. Can Microsoft really embrace open source technology? And if it can, will it end up co-opting it somehow, or will it truly play ...

Hadoop, an open-source framework, has long been synonymous with Big Data processing. It comprises two main components: the Hadoop Distributed File System (HDFS) for storage and the MapReduce ...