That being the case, I'm going to assume that you've already built a Hadoop cluster (check out the last article if you need help with that), and I'll show you how to use a hive script to process data.

“DMX-h comes with its own Hadoop InputFormat and OutputFormat implementations to deal with mainframe data in Hadoop MapReduce, so we ‘teach’ Hadoop how to speak EBCDIC,” a company spokesperson tells ...

RainStor Big Data Analytics on Hadoop addresses some of the big problems with Hadoop, namely the complexity of interacting with it, the time it takes to run MapReduce jobs on large datasets and ...

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

RainStor, a provider of big data management software, has unveiled the RainStor Big Data Analytics on Hadoop, which the company describes as the first enterprise database running natively on Hadoop.

The Hadoop community recently promoted YARN -- the next-gen Hadoop data processing framework -- to the status of "sub-project" of the Apache Hadoop Top Level Project. The promotion puts YARN on the ...

One of the side effects of the massive run-up in Hadoop deployments is the creation of a big skills shortage. IBM claims to have addressed part of that shortage with the general availability of an all ...