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The release reads:
H2O AND MAPR TECHNOLOGIES PARTNER TO EXTEND IN-MEMORY PREDICTIVE ANALYTICS ON HADOOP
Strategic partnership will answer customer demand for advanced analytics layered on top of enterprise-class Apache™ Hadoop
H2O (http://www.h2o.ai/), the open source in-memory machine learning and predictive analytics company for big data, today announced that its flagship H2O product is now certified on MapR Technologies Distribution for Apache™ Hadoop. Companies that deploy MapR can seamlessly run open source H2O advanced algorithms on data stored in Hadoop clusters without the need for data transfers. By combining the power of H2O’s in-memory prediction engine with a unified platform in MapR, users can get more value from their existing data and easily create models using familiar tools such as R, Python, Scala and Java.
“Together MapR and H2O are working to provide enterprises with easy access to the fastest predictive analytics on the sturdiest Hadoop distribution,” said Bill Bonin, vice president of business development of MapR Technologies. “We’re driving greater value to our customers through a variety of popular use cases from fraud detection and attribution analysis, to analyzing traffic patterns.”
“H2O brings near real-time modeling and low-latency scoring to MapR Enterprise Hadoop Distribution,” said SriSatish Ambati, co-founder and CEO of H2O. “Some of the first to realize increased ROI on their Hadoop investments have been Insurance and Financial Services companies through the use of pricing engines and fraud prediction.”
A vibrant community of data scientists, systems and language enthusiasts has built up quickly around a shared interest in H2O. H2O has sponsored or participated in 45 data science meet-ups over the past 9 months. For more information on upcoming H2O meet-ups, please visit http://0xdata.com/events/ or join the movement at https://github.com/0xdata/h2o.
VISIT US AT STRATA!
Booth #919, Santa Clara Convention Center, Ballroom E, February 11 - 13
- Meet the H2O team and see our H2O Prediction Engine demonstration.
- Catch H2O CEO SriSatish Ambati speaking at 6:30 PM Pacific on Monday, February 10 at Big Data Science Meetup in Ballroom E the night before Strata kicks off!
H2O brings better algorithms to big data. H2O is a fast open source in-memory prediction engine and machine learning platform. With H2O enterprises can use all of their data (instead of sampling) in real-time for better predictions. Users can model data quickly and make better data-driven decisions faster by running advanced algorithms such as Deep Learning, Classification, Regression, Decision Trees, Forests, Gradient Boosting, GLM, PCA and more. Data Scientists can take both simple & sophisticated models to production from the same interactive platform used for modeling within R and JSON.
Our earliest customers have built powerful domain specific predictive engines for Recommendations, Pricing, Outlier Detection and Fraud Prediction for Insurance and Ad Platforms. H2O is nurturing a grassroots movement of math, systems and data scientists to herald the new wave of Discovery with Big Data Science. H2O is on CRN’s 10 Coolest Big Data Products of 2013 and is a Silicon Valley startup backed by Nexus Venture Partners and other leading angel investors in big data. www.h2o.ai