Cloud Analytics

Efficient Deployment of Predictive Analytics through Open Standards and Cloud Computing

Session Date & Time: Day 3 March 25 19:30pm EST (4.30PM pst) (45min)
Keywords: Amazon, Cloud Analytics, PMML, Predictive Analytics, SaaS.
Authors: Michael Zeller, Alex Guazzelli and Kostantinos Stathatos, Zementis, Inc.
Abstract: Open standards and cloud computing not only have the power to enable the development of new data mining applications across science and industry, but more importantly they also lower the total cost of ownership by avoiding proprietary issues and incompatibilities among systems. The Predictive Model Markup Language (PMML) standard, which allows for data mining models to be easily exchanged between analytic applications, has obtained broad industry support among commercial and open source vendors.

Cloud Computing For Everyone

Session Date and Time: Day 3, March 25, 13:15am EST (10:15am PST) (45min)
Keywords: Cloud Analytics, Big Data, Parallel Processing, Realtime Web Mining, Cloud Platform
Authors: Bill McColl, Cloudscale Inc.
Abstract: Experienced programmers are already exploiting tools such as MapReduce/Hadoop for processing large repositories of stored, historical data. The next major post-SQL revolution will be in bringing the full power of advanced data mining and analytics, realtime stream processing, and massively parallel computing to everyone, not just to experienced programmers.

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