John Canfield discusses the changing payment ecosystem, innovations in mining and organizing unstructured data from many sources, and approaches to deciding for loss minimization and user experience.
Michael Bryzek shares lessons learned from startup to a leading ecommerce companies, starting with behavioral psychology and reflecting on the decisions made and tradeoffs considered as they scaled.
Anthony Molinaro discusses the challenges of troubleshooting distributed systems and using Mondemand to track down issues with various services in a distributed system.
Russell Miles tries to uncover the PaaS truth based on his experiences using and building PaaSs for various organisations.
Ruslan Meshenberg discusses Netflix's challenges, operational tools and best practices needed to provide high availability through multiple regions.
Juha-Pekka Tolvanen keynotes on what modeling languages and generators are more helpful and cost effective.
Ian Robinson takes a look at how size, structure and connectedness have converged to change the way we work with data, showing some new opportunities with connected data illustrated with graph search.
Frank Moley discusses creating RESTful web services with Spring Framework 3.x and 4.x. He also addresses object modeling and URL modeling using common patterns.
Volker Pacher, Sam Phillips present key differences between relational databases and graph databases, and how they use the later to model a complex domain and to gain insights into their data.
Mo Ramezanpoor discusses how two different activity tracking apps -"Zombies, Run!" and "The Walk"- have different approaches for tracking user activity.
The authors share insights from their experience building DSLs for business people.
Justin Moore shares how Facebook's own advances in Data Science have solved intricate location technology problems and how these lessons can be applied to other verticals to achieve similar gains.