Jonathan Seidman and Ramesh Venkataramaiah present how they run R on Hadoop in order to perform distributed analysis on large data sets, including some alternatives to their solution.
Nathan Marz explain Storm, a distributed fault-tolerant and real-time computational system currently used by Twitter to keep statistics on user clicks for every URL and domain.
Manas and Clemens discuss deriving business agility from SOA and BPM, how SOA and BPM enable agility, and pitfalls/recommendations for organizational culture, business and technical architectures.
Hilary Mason presents the history of machine learning covering the most significant developments in the area, and showing how bit.ly uses it to discover various statistical information about users.
At a recent IIBA New Zealand members event Shane and Pete debated the role of the business analyst on Agile projects. They looked at the importance of analysis on projects and how the role changes.
Agile methods are empirical: plan, do, evaluate, plan again. To keep teams rolling, planning is critical. For 80 minutes David Hussman reviews practices for planning projects, releases, iterations.