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.

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 ...

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 ...

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 ...

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 ...

The rise of Hadoop has created new oceans of data to explore, and Oracle has a new software product that’s designed to help. Called Oracle Big Data Spatial and Graph, it brings new analytic ...

Microsoft's HDInsight Hadoop-on-Azure service is getting Apache Storm real-time analytics support in preview form.