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 ...

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.

Learn machine learning algorithms, and statistical analysis to understand complex data, and leverage it to make informed business decisions. As part of the Rutgers Stackable Business Innovation ...

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.

Hadoop is contributing to the success of data analytics. Anad Rai, IT manager at Verizon Wireless, examined the differences between traditional versus big data at Data Summit 2015 in a session titled ...

Digital transformation, while not new, has changed tremendously with the advent of new technologies for big data analytics and machine learning. The key to most company's digital transformation ...

For businesses that want to run analytics on low-cost Hadoop clusters, fully compliant SQL is now possible natively on the big data platform, according to Actian.