Alvaro Videla shows how to build a system that can ingest data produced at separate locations and replicate it across regions using RabbitMQ.
Paul Simmonds discusses the importance of identity and attribute information that will define how access to the functionality and how data is governed by applications in the near future.
Jesse Cravens demoes setting up client-side models with various persistence solutions using data bindings, and showing how Ember’s router manages application state.
In this solutions track talk, sponsored by Neo Technology, Ian Robinson takes a look at how size, structure and connectivity have converged to transform the data landscape.
Paul King presents working with databases in Groovy, covering datasets, GMongo, Neo4J, raw JDBC, Groovy-SQL, CRUD, Hibernate, caching, Spring Data technologies, etc.
Jeff Scott Brown demoes creating a web application with Grails 2 using the command-line, GORM and Hibernate, GSP, and Spring Integration.
Craig Brozefsky presents the tradeoffs involved with moving to a purely SQL relational model, instead of using an ORM, along with some of the tools built to facilitate this.
Stephane Dubois shares insight in Xignite’s road building a business model providing APIs for accessing financial data.
Darach Ennis investigates data distribution biased for occasionally connected near-real-time data streaming in low fidelity environments with traditional messaging.
Gray Brooks discusses the efforts around creating APIs for accessing the vast amounts of data administered by the US Government.
Reza Rahman shows code samples for some of the APIs coming in Java EE 7, such as JMS 2, WebSocket, JSON, JAX-RS 2, JPA 2.1, JTA 1.2, etc. and takes a peek at Java EE 8 features to be expected.
Mark Pollack provides a guided tour plus demos of the Spring Data feature set.