Jürgen Mutschall ponders what is to be done to make MDSD a mandatory development methodology for every large scale project.
Theo Schlossnagle keynotes on the role of open source software and the breaking up of silos in the enterprise in creating scalable systems.
Andrew Clegg overviews methods and provides use cases for performing data sets operations like membership testing, distinct counts, and nearest-neighbour finding more efficiently.
Vaclav Petricek digs some of the romantic interactions nuggets hidden in eHarmony's large collection of human relationships.
Michael Kopp explains how to run performance code at scale with Hadoop and how to analyze and optimize Hadoop jobs.
Michael Brunton-Spall shares his experience re-architect The Guardian’ Content API from a system based on Solr to a message queue cloud service based upon Elastic Search, without any downtime.
Peter Pilgrim introduces Scala to advancing beginners: getting the most out of Scala, working with popular Java frameworks, the build tools and some of the new features of Scala 2.10.
Tormod Varhaugvik provides a design and rationale for an In Memory and Big Data architecture for live equity and risk assessment, using Tax Norway’ new architecture as an example.
Nathan Marz shares lessons learned building Storm, an open-source, distributed, real-time computation system.
Eli Collins overviews how to build new applications with Hadoop and how to integrate Hadoop with existing applications, providing an update on the state of Hadoop ecosystem, frameworks and APIs.
Eben Roux introduces messaging using a service bus, explaining the differences between WCF, web services and a service bus, and demoes how Shuttle handles messages.