Paul Warren explains how the CF runtime was extended to include persistent storage, demonstrating scaling an application that accesses data on a NFS volume and discussing the future of persistence.
Yongsheng Wu talks about how to build highly-resilient systems at scale. Wu presents also failure cases that prompted engineers at Pinterest to build such systems, and how they test these systems.
Joe Stein introduces Mesos and managing data services on it, presenting use cases for replacing classic solutions (like cold storage) with new functionality based on these technology.
Matt Zimmer discusses architectural patterns -service decomposition, stateless application tiers, and polyglot persistence- and migration strategies used by Netflix.
Dean Wampler takes a look at SQL’s resurgence and specific example technologies, including: NewSQL, Hybrid SQL, SQL abstractions on top of file-based data, SQL as a functional programming language.
Jeff Markham introduces Roo and SQLFire along with a demonstration of using AspectJ for SQLFire administration.
Jay Kreps discusses the architecture, algorithms, implementation and deployment of Voldemort, a distributed storage system. He also presents the problems solved using Voldemort at LinkedIn.
JPA 2.0 adds in many things which were missing in JPA 1.0. This talk covers features like advanced locking, enhanced query language, expression/criteria API and more advanced O/R mapping support.
This presentation covers the use of graph databases as an optimal solution for data that is difficult to fit in static tables, rapidly evolving data or data that has a lot of optional attributes.
Emmanuel Bernard and Max Ross talk about patterns and practices used to achieve high volume and scale with Hibernate. They also explains Hibernate Shards and Search to push the scalability limits.