Michael Hunger and Lorenzo Speranzoni show how easy it is to get started with Spring Data Neo4j using Spring Boot.
Roy Clarkson and Greg Turnquist provide a quick overview of the Spring Data REST project, explains fundamental design decisions and introduces new features of the latest version.
The authors focus on POJO persistence over Cassandra, including automatic Cassandra schema generation and Spring context configuration using both XML and Java.
This talk provides a broad overview of the new features introduced in the latest Spring Data release trains: recent additions in Spring Data Commons and the latest features of individual store modules
Frank Moley introduces Spring Data and how to use it for applications connected to either RDBMS or NoSQL databases.
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.
Brett Meyer demos using multiple-tenancy, geographic data, auditing/versioning, sharding, OSGi, and integration with Hibernate.
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.