Everyone knows the time from data-to-action can be critical to winning business, regardless of the variety, velocity, variability and volume of information involved in the process. And in a world ...

As digital marketers hone the complementary sciences of behavioral metrics, segmentation and targeting, the deluge of consumer data consistently overwhelms traditional processing technology. The ...

MapR Technologies, a pioneer in delivering one platform for all data, across every cloud, has announced the availability of the MapR Converged Data Platform 6.0, with new advancements to help ...

Big Data vendor MapR Technologies Inc. has teamed up with Amazon Web Services (AWS) to offer its customers the chance to test drive versions of Dataguise DgSecure, HPE Vertica and Apache Drill & TIBCO ...

MapR Technologies has extended advanced containers integration into the MapR Converged Data Platform. The company is enabling the deployment of stateful applications with its Data Fabric for ...

Hadoop distribution specialist MapR Technologies unveiled its new MapR App Gallery at Hadoop Summit, showcasing big data apps from ecosystem partners that are aimed at developers, administrators and ...

A while ago, I posted What is "Big Data?". Here's a segment of that post. “Big Data” is a catch phrase that has been bubbling up from the high performance computing niche of the IT market.

SAN JOSE, Calif.--(BUSINESS WIRE)--MapR Technologies, a pioneer in delivering one platform for all data, across every cloud, today announced the availability of the MapR Converged Data Platform 6.0, ...

MapR Technologies Inc. is rolling out a new version of its flagship Converged Data Platform, with a focus on DataOps, a variation on the DevOps rapid application development process that focuses on ...

MapR Technologies welcomed more than 100 people Wednesday to a one-day Convergence event in San Diego, where local companies like Qualcomm and genomic startup LunaDNA shared stories about their big ...

When it emerged from stealth in 2011, MapR was an outlier in the Hadoop community. At the time, Hadoop was defined largely by two projects adapted from Google research: MapReduce, which introduced ...