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 ...

Also featured in DataRush 5.0 is backing for newer languages on the JVM, including JRuby, Python, and Scala; users of these languages get parallel development capabilities.

To many, Big Data goes hand-in-hand with Hadoop + MapReduce. But MPP (Massively Parallel Processing) and data warehouse appliances are Big Data technologies too. The MapReduce and MPP worlds have ...

Hunk is a relatively new product from Splunk for exploring and visualizing Hadoop and other NoSQL data stores. New in this release is support for Amazon’s Elastic MapReduce.

Hadoop 2.0 makes MapReduce less compulsory and the distributed file system more reliable.

Apache Hadoop has been the driving force behind the growth of the big data industry. But what does it do, and why do you need all its strangely-named friends, such as Oozie, Zookeeper and Flume?

However, MapReduce should not be equated with Hadoop. MapReduce is just one of many ways to process your data in a Hadoop cluster. Spark can be used as an alternative.

Hadoop MapReduce is still the best choice for batch processing of large amounts of data but for most other use cases, Spark is the better choice.

Hadoop is the most significant concrete technology behind the so called 'Big Data' revolution. Hadoop combines an economical model for storing massive quantities of data - the Hadoop Distributed File ...

The next generation of Apache Hadoop, the software implementation that allows batch processing of petabytes of data, is expected out this year, says a Yahoo executive. Todd Papaioannou, vice ...