Graphs, search and recommendations:
- Under the Hood: Building out the infrastructure for Graph Search
 - LinkedIn's Cleo and Search (Cleo claims to have been inspired by FB's graph search)
 - GraphLab - another take on large scale, distributed graph processing. Similar to Apache Giraph but not based on Hadoop code.
 - Graph Based Recommendation Systems at eBay. Graphs, algebra and Cassandra. (I had to go back to basics to understand slide 9)
 
- Data, Data, Data: Thousands of Public Data Sources
 - Scalable and Flexible Machine Learning With Scala @ LinkedIn
 - Big Data, Small Computers (H2O)
 - A Practical Intro to Data Science
 - Numeric Programming in Scala with Spire
 
And finally, a nice talk on trade processing and a of paper on MongoDB for finance.
Ashwin.