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.

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 ...

Isotopes, co-founded by Arun Murthy, launched a sophisticated analytics agent. Arun was one of the creators of Hadoop who ...

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.

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 ...

Splunk Inc., today announced the next evolution of big data analytics with the general availability of Hunk™: Splunk Analytics for Hadoop.

Backup and archive, data catalog, analytics, machine learning and even data warehousing Cloud-native products like Snowflake can actually provide standalone data lake capabilities My take Hadoop was ...

The Hadoop Bubble has officially turned into a bust as Cloudera files for IPO positioning itself as a machine learning platform.