Hadoop is a framework that is designed for storing and processing big data. It is used by some of the biggest companies like Facebook, Yahoo, and Amazon. If Java developers want to work with big 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 nice?

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, ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

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 Hadoop has been the driving force behind the growth of the big data industry. You'll hear it mentioned often, along with associated technologies such as Hive and Pig. But what does it do, and ...

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 ...

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 ...

**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 ...