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 scalable ...

This is a comprehensive Apache Hadoop and Spark comparison, covering their differences, features, benefits, and use cases. Apache Spark and Apache Hadoop are both popular, open-source data science ...

Google and its MapReduce framework may rule the roost when it comes to massive-scale data processing, but there’s still plenty of that goodness to go around. This article gets you started with Hadoop, ...

Have you ever wondered how Google, Facebook and other Internet giants process their massive workloads? Billions of requests are served every day by the biggest players on the Internet, resulting in ...

Apache's Hadoop is an open source project that implements a Java-based, Map/Reduce parallel programming paradigm. It is designed to scale to very large clusters with thousands of nodes and terabytes ...

Amazingly, Hadoop has been redefined in the space of a year. Let's take a look at all the salient parts of this roiling ecosystem and what they mean The biggest thing you need to know about Hadoop is ...

It’s been a few years since JavaOne felt like a fun, vibrant conference. But this year, thanks to the release of the OpenJDK and Java SE 7, attendees had plenty to talk about and learn at the show.