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R+Hadoop - Ask Bigger (and New) Questions and Get Better, Faster Answers


Presenters:

Michele Chambers, Chief Strategy Officer & VP Product Management, Revolution Analytics
Ranganathan, Director of Product Strategy, Cloudera

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

About the speakers:

About the Speakers:
Speaker photoAbout the speaker

Michele Chambers is an entrepreneurial executive with over 25 years of industry experience. As the Chief Strategy Officer at Revolution Analytics, Michele is responsible for corporate strategy, product management and product marketing. Michele's passion is helping companies identify new areas to apply analytics that drive high business value and create sustainable differentiation in the market.

Michele was formerly the GM & VP Big Data Analytics at IBM. Her team was responsible for working with customers to fully exploit the IBM Big Data platform including the IBM Netezza appliance via scalable, high performance advanced analytics on IBM Netezza's massively parallel computing platform. Michele was responsible for guiding the vision, strategy, sales and go-to-market for IBM Netezza Analytics.

Michele is the co-author of “Big Data Big Analytics” (Wiley) that helps businesses and IT managers/executives understand the value of big data through practical use case stories along with consumable descriptions of the enabling technology. She holds a BS in Computer Engineering from Nova Southeastern University and an MBA from Duke University.

Jairam is the Director of Product Strategy at Cloudera, where he is responsible for planning the roadmap for Cloudera products, especially as Cloudera builds out a distributed platform capable of supporting rich analytics workloads.

Before Cloudera, he spent a decade at VMware, most recently running product management for VMware's private cloud product suite. He is also an experienced distributed systems developer, having worked at VMware on their core vMotion & storage vMotion technologies as well as the distributed management framework for vSphere.