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.
Paul King presents working with databases in Groovy, covering datasets, GMongo, Neo4J, raw JDBC, Groovy-SQL, CRUD, Hibernate, caching, Spring Data technologies, etc.
Mark Pollack provides a guided tour plus demos of the Spring Data feature set.
Oliver Gierke introduces Spring Data repositories along with best practices and implementation patterns, followed by guidelines for integrating repositories with Spring MVC and REST web services.
Mark Johnson and David Turanski introduce Spring Data for GemFire demoing using Spring Data for persistency across multiple distributed database grids.
Jon Brisbin explains how to expose JPA entities via the Spring Data Repository abstraction and then exporting them to HTTP using Spring Data REST.
Adrian Colyer, Juergen Hoeller, Mark Pollack and Graeme Rocher present SpringSource’s Unifying Component Model, current developments regarding Big Data, and betting on Grails.
Peter Bell introduces 4 NoSQL categories –Key-Value, Document, Column, Graph - and explains how one can use Spring Data to work with such data stores.
Thomas Risberg and Jared Rosoff show how to create Spring applications using Spring Data and MongoDB, applications deployed on Cloud Foundry.
Michael Hunger discusses graph databases and the need for them in the larger context of NoSQL data stores, introducing Spring Data, Neo4j, and Spring Data Neo4j.
Mark Pollack and Chris Richardson discuss NoSQL, exemplifying with Redis, Cassandra and MongoDB, and Spring Data, a project meant to provide a unified programming model for accessing NoSQL DBs.