R & Scala for fast in-memory predictions on Hadoop via H2O!

Key takeaways

The post announced an SF Big Data Science meetup covering R and Scala for fast in-memory predictions on Hadoop using H2O.
Speaker Anqi Fu was set to present data munging and R ad hoc analytics at scale using RStudio.
Speaker Michal Malohlava was set to present the Scala API for H2O, and Tom Kraljevic, H2O's VP of Engineering, was set to present integrating H2O with YARN and Hadoop.

Take R and Scala to Big Data using in-memory Algorithms from H2O. In this Triple Header for SF Big Data Science

Anqi Fu , our resident R wiz, will present data munging and R adhoc analytics at scale. Be prepared for fireworks with R in RStudio and not a ton of powerpoint. Scala has reached tremendous adoption amongst Machine learning & Data Science users. Our customers have spoken and we obliged with a simple interface. Michal Malohlava , the original DSLinguist and backpacker through Random Forests, presents Scala API for H2O and a bold roadmap that will bring Scalding and bring extensibility to in-memory prediction engine to Scala users.Tom Kraljevic , the black-magic man who simplifies complex systems, will present some original hadoop-smithy & wicked design that simplifies integrating in-memory services like H2O, on YARN & Hadoop . (btw, Tom is also the VP of Engineering @h2oai, So meet him before / after for drinks & println(“Hello, World!”); ) Join us for an evening of fun with Data & Languages! Sri