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 ...

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 ...

Hadoop, for many years, was the leading open source Big Data framework but recently the newer and more advanced Spark has become the more popular of the two Apache Software Foundation tools.

Taught by Expert Faculty Our faculty have deep expertise in data analytics, and use state-of-the-art analytics models in their academic research. Many consult with top technology companies and are ...

Who Should Attend Bioprocess Data Analytics and Machine Learning is designed for scientists and engineers in the biopharma industry who want to take their skills—and their careers—to the next level.

Before marketers commit to and execute their AI strategy, they need to understand the opportunity and difference between data analytics, predictive analytics and AI machine learning.

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