Hey, Josh Suereth is scheduled to give a talk at the PitJUG meeting on Sept 25.
I talked to Greg Atkins about us crashing the meeting and he is ok with it as long as we register at the PTC website, https://webportal.pghtech.org/Conference/RegistrationProcessOverview.aspx?id=467
Registration is free, they just want to know how much pizza to buy.
Title: Patterns in Map-Reduce: Lessons Learned.
Description: Join the Java User Group for a talk covering the basic capabilities of MapReduce at Google and various design patterns used in conjunction with large data. You’ll understand the Map-Reduce pattern and the limitations of the design and how to effectively map common tasks into Map-Reduce using a set of "patterns". The focus of each pattern is to minimize the amount of data any individual machine has to look at. The following patterns/concepts will be discussed in no particular order: Pairing, Filtering, Connected Components, Prioritizing, Classification, Persistence, Distance and Data "schema" design. All examples/code will use the "Cascade" Scala library (http://days2011.scala-lang.org/node/138/282). No knowledge of Scala is necessary, as the talk focuses on Map Reduce patterns and optimization.
Josh Suereth is a Senior Software Engineer at Typesafe and the author of "Scala In Depth". He has been a Scala and Big Data enthusiast for most of his career. He started his professional career as a software developer in 2004 using programming languages like C++, Perl and Java while working on Sonar processing clusters. In 2008 he finished a Masters Degree in distributed programming. He worked for Google Pittsburgh on the Shopping team, where he performed large data analysis and classification. Josh regularly shares his expertise in articles and talks.
I hope to see you there.