Primary links


The business cases for Hadoop can be made on the tremendous operational cost savings that it affords. But why stop there? The integration of R-powered analytics in Hadoop presents a totally new value proposition. Organizations can write R code and deploy it natively in Hadoop without data movement or the need to write their own MapReduce.     Bringing R-powered predictive analytics into Hadoop will accelerate Hadoop’s value to organizations by allowing them to break through performance and scalability challenges and solve new analytic problems. Use all the data in Hadoop to discover more, grow more quickly, and operate more efficiently. Ask bigger questions. Ask new questions.  Get better, faster results and share them.

Join Revolution Analytics and Cloudera in this webinar to learn how to:

  1. Unaccept the status quo and break away from dependence on legacy tools. 
  2. Bring the power of R – including Revolution Analytics’ ScaleR library of Hadoop-ready Big Data Analytics algorithms – to Cloudera’s CDH
  3. Apply this joint solution to real-life scenarios to get better and faster results by Ask Bigger Questions, ask new questions, obtain and share better results faster

Powered by Drupal 5.5 and copyright © 新趨勢網路科技實驗室 ( Emerging Network Technology Laboratory ), Some Rights Reserved
This work is licensed under a Creative Commons License.