At the center of the new big data movement is the Hadoop framework, which provides an efficient file system and related ecosystem of solutions to store and analyze big datasets. The Hadoop ecosystem ...

Jonathan Seidman and Ramesh Venkataramaiah present how they run R on Hadoop in order to perform distributed analysis on large data sets, including some alternatives to their solution.

Sensing a growing interest in big data-style analysis, software provider Revolution Analytics has updated its flagship package of R statistical functions so it can be run with the Hadoop data ...

Together, Revolution Analytics and Cloudera deliver one of the most powerful and cost-effective Big Analytics solutions on the market, uniting R with the complete Apache Hadoop stack to streamline ...

About 3 years ago, the AMP (Algorithms, Machines, People) lab was established at U.C. Berkeley to attack the emerging challenges of advanced analytics and machine learning on big data. The resulting ...

Teradata Aster Analytics on Hadoop allows users to combine machine learning, text, path, pattern, graph, and statistics within a single workflow. Teradata offers flexible Aster Analytics deployments ...

Today Adatao announced general availability for the tool set, which claims to put machine intelligence at the disposal of nontechnical users making natural-language queries with Hadoop data.

SANTA CLARA, CA, July 21, 2021 — Quobyte Inc., a developer of scale-out software-defined storage (SDS), today announced availability of its Hadoop Driver. Quobyte’s new native driver for Hadoop ...

Analyzing large volumes of data is only part of what makes big data analytics different from traditional data analytics ...