Hadoop and MapReduce have long been mainstays of the big data movement, but some companies now need new and faster ways to extract business value from massive — and constantly growing — datasets.

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 ...

The creator of the Hadoop platform, Doug Cutting, is surprised Hadoop didn't have to battle it out with more competitors in its early years but thinks it's now too late for a competitor to take on the ...

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 ...

The demand for job skills related to data processing — NoSQL, Apache Hadoop, Python, and a smattering of other such skills — has hit all-time highs, according to statistics collected by tech job site ...

The new release of Sybase IQ expands support for in-database analytics, including a native MapReduce API, Predictive Model Markup Language (PMML) support, integration with Hadoop, and an expanded ...

Although not immediately obvious, C++ is used in Big Data along with Java, MapReduce, Python, and Scala. For example, if you’re using a Hadoop framework, it will be implemented in Java, but MapReduce ...

Last year we all knew what Big Data in the enterprise meant. It meant Hadoop and it was riding the crest of a huge adoption wave. Big Data is still riding that wave, but it’s not clear Hadoop is ...

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 ...