Hadoop has been widely embraced for its ability to economically store and analyze large data sets. Using parallel computing techniques like MapReduce, Hadoop can reduce long computation times to hours ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Kenneth Harris, a NASA veteran who worked on ...

When your data and work grow, and you still want to produce results in a timely manner, you start to think big. Your one beefy server reaches its limits. You need a way to spread your work across many ...

Energy drink Red Bull sponsors air races. In New York, colorful propeller aircraft raced around and through inflated gates. The gates looked like the blow-up animals in Macy’s Thanksgiving Day Parade.

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 ...

Hadoop training courses and certification programs are available from companies including Cloudera, Hortonworks, IBM and MapR. But if you’re not ready to commit to formal training courses, there are ...

Data science is an interdisciplinary sphere of study that has gained traction over the years, given the sheer amount of data we produce on a daily basis — projected to be over 2.5 quintillion bytes of ...

Over at The Data Stack, Intel’s Tim Allen writes that the key to optimizing Hadoop on x86 is to tune the underlying Java so that it takes advantage of capabilities in Intel hardware. When you do that, ...

Hadoop MapReduce has been widely embraced for analyzing large, static data sets. New technology integrates a stand-alone MapReduce engine into an in-memory data grid, enabling real-time analytics on ...