Hadoop MapReduce has been widely embraced for analyzing large, static data sets. New technology integrates a stand-alone MapReduce engine into an in-memory data grid, enabling real-time analytics on ...

Hadoop MapReduce has been widely embraced for analyzing large, static data sets. New technology integrates a stand-alone MapReduce engine into an in-memory data grid, enabling real-time analytics on ...

The venerable C programming language isn't going away, as shown by Google's open sourcing of a framework to let Big Data devs run native C code in Hadoop: MapReduce for C. " MR4C is an implementation ...

RainStor Big Data Analytics on Hadoop is not a connector – the database runs natively on top of Hadoop. Because it runs on the Hadoop stack, there’s no need to pipe data in and out of the ...

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.

RainStor, provider of the most efficient enterprise data store for Big Data, today announced that RainStor 5.5 has been certified to run on Hortonworks Data Platform 2.1, the industry's only ...

Commercial vendors have embraced Hadoop. IBM, for example, has several applications, including an analytics service, running on Hadoop. IBM and Google teamed in 2007 to offer university courses about ...

Hadoop veteran Arun Murthy says Apache Slider will have a major bearing on the future versatility and take-up of the distributed big-data technology. Written by Toby Wolpe, Contributor ...

The core idea is to run TensorFlow jobs as reliably and flexibly as other first-class citizens on Hadoop. Written by Natalie Gagliordi, Contributor Sept. 13, 2018, 8:00 a.m. PT ...

Once you've created a Hadoop cluster within Amazon Web Services, you can process data using a hive script.