Q Ethan McCallum
Title: Integrating R and Hadoop
Abstract: As an analytics tool, R strains under modern large-scale datasets. People have devised a number of ways to help R function in the big-data arena, one of which is to drive it with Hadoop. But how does this work, and when is it an appropriate solution? This talk will describe the what and the how of mixing R and Hadoop, and more importantly, the when and why of this approach.
Q Ethan McCallum (@qethanm) works as a professional-services consultant, with a focus on strategic matters around data and technology. He is especially interested in helping shops build and shape their internal analytics practice.
Q’s published work includes Parallel R: Data Analysis in the Distributed World and Bad Data Handbok: Mapping the World of Data Problems. He is currently working on his next book, Making Analytics Work (http://makinganalyticswork.com/).
Dean Wampler
Title: Introduction to NoSQL databases
Abstract:
The emergence of Internet companies like Yahoo!, Google, Twitter, and Facebook created the need to manage data sets of unprecedented size. Furthermore, the “always on” nature of the Internet imposed new demands on availability and reliability. These forces drove the emergence of alternatives to relational (SQL-oriented) databases, collectively called “NoSQL” databases. This session will describe the history of NoSQL databases, their features, and the problems they address.
Dean Wampler works with clients on “Big Data” applications, using Hadoop, NoSQL, and other technologies. He is a Functional Programming enthusiast and a contributor to several open-source projects. Dean is the founder of the Chicago-Area Scala Enthusiasts and the author of “Functional Programming for Java Developers”, the co-author of “Programming Scala”, and the co-author of “Programming Hive”, all from O’Reilly. He pontificates on twitter, @deanwampler, and at polyglotprogramming.com. His consulting company is Concurrent Thought (concurrentthought.com).