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.
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.