What are some of the cool things in the 2.0 release of Hadoop? To start, how about a revamped MapReduce? And what would you think of a high availability (HA) implementation of the Hadoop Distributed ...

It would be pure understatement to say that the world has changed since Hadoop debuted just over a decade ago. Rewind the tape to 5 - 10 years ago, and if you wanted to work with big data, Hadoop was ...

As a poster child for big data, Hadoop is continually brought out as the reference architecture for big data analytics. But what exactly is Hadoop and what are the key points of Hadoop storage ...

Hadoop introduced a new way to simplify the analysis of large data sets, and in a very short time reshaped the big data market. In fact, today Hadoop is often synonymous with the term big data. Since ...

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 ...

Storing data in Hadoop generally means a choice between HDFS and Apache HBase. The former is great for high-speed writes and scans; the latter is ideal for random-access queries — but you can’t get ...

Did you know that 90% of the world’s data has been created in the last two years alone? With such an overwhelming influx of information, businesses are constantly seeking efficient ways to manage and ...

While Hadoop is officially 15 years old as an Apache project, it only gained mainstream IT attention 10 years ago. Hadoop started as an open source implementation of key Google technologies used for ...

All of the leading commercial Hadoop distributions are compatible with Apache Hadoop, so what sets them apart? Here's how the leading commercial distributions identified by Forrester Research compare.