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 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 ...

Scientists and mathematicians have long loved Python as a vehicle for working with data and automation. Python has not lacked for libraries such as Hadoopy or Pydoop to work with Hadoop, but those ...

In the 1800s, John Godfrey Saxe wrote a poem about six blind men and an elephant based on an old Indian story. In an effort to discover what the elephant is, each man touches a different part of the ...

Code submitted this week for inclusion in the Hadoop stack will help speed the spread of the distributed big-data platform, according to Hortonworks co-founder Arun Murthy. The submission of the ...

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 ...

Big data analytic software vendors who run on Hadoop are increasingly replacing their MapReduce engines with Apache Spark and other in-memory analytic engines as the runtime of choice. Many of these ...

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 ...

The Apache Software Foundation unveiled its latest release of its open source data processing program, Hadoop 2. It runs multiple applications simultaneously to enable users to quickly and efficiently ...

When it comes to making a large investment to adopt a new technology like Hadoop, eventually the CEO must be presented with the pros and cons and approve the expense. Most CEOs start with a skeptical ...