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.
Oliver Gierke demoes using Spring Data JPA to create repositories using a Domain-driven Design approach.
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.
Dean Wampler discusses the merits of several controversial issues: Goto, Design before Code, Design Patterns, Corba vs. REST, Object Middleware and ORMs, and Identiﬁers with Spaces.
Lance Ball presents DataMapper, a Ruby ORM library, along with Infinispan, Hibernate Search, Lucene, all running on JBoss AS7 and accessed through TorqueBox, a JRuby application server.
Jean Baptiste Evain presents the reflection and metaprogramming tools provided by Mono: Mono.Reflection, Mono.Linq.Expressions, and Mono.Cecil.
Jerome Dochez unveils the features planned for Java EE 7: Cloud Computing support, Modularity enhancements, richer Web Tier – Web Socket, HTML5, JSON-, JMS 2.0, and JPA 2.1, plus the roadmap.
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.
Uri Cohen presents the key characteristics of SQL and NoSQL databases and how to create a layer on top of distributed data stores in order to use SQL to query for data.
Burt Beckwith discusses potential performance problems using mapped collections and Hibernate 2nd-level cache in GORM, along with strategies for avoiding such performance penalties.
Amanda Laucher and Josh Graham present some of the most important elements of the .NET ecosystem: F#, M, Boo, NUnit, RhinoMocks, Moq, NHibernate, Castle, Windsor, NVelocity, Guerilla WCF, Azure, MEF.