MapReduce developers face a steep learning curve when first deploying and configuring a Hadoop cluster and later when verifying program correctness. Compounded by long execution times (measured in ...

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 distributor Cloudera has released a commercial edition of the Apache Spark program, which analyzes data in real time from within Cloudera’s Hadoop environments. The release has the potential to ...

When the Big Data moniker is applied to a discussion, it’s often assumed that Hadoop is, or should be, involved. But perhaps that’s just doctrinaire. Hadoop, at its core, consists of HDFS (the Hadoop ...

Hadoop has been known as MapReduce running on HDFS, but with YARN, Hadoop 2.0 broadens pool of potential applications Hadoop has always been a catch-all for disparate open source initiatives that ...

Hadoop is entering a new chapter in its evolution with the launch of an ambitious community effort from Cloudera Inc. that aims to replace MapReduce as its default data processing engine. The proposed ...

Pervasive Software is unveiling on Wednesday version 5.0 of its DataRush parallel application software, which now works with the popular Hadoop MapReduce framework for processing large volumes of data ...

Hadoop is a popular open-source distributed storage and processing framework. This primer about the framework covers commercial solutions, Hadoop on the public cloud, and why it matters for business.