Victor Gamov and Neil Stevenson present using Spring Data for a Hazelcast project, built on the KeyValue module and providing infrastructure components for creating repository abstractions.
Covering the features added to Spring Data REST in recent releases, Oliver Gierke looks at how to integrate manually coded REST resources, tweak representations and work with lookup types.
John Blum and Luke Shannon present and code a live Spring Boot-based application powered by Apache Geode (a.k.a. Pivotal GemFire) running on CloudFoundry.
Mark Paluch and John Blum present the changes in Spring Data Cassandra and what to expect from the upcoming version.
Christoph Strobl explains Redis' Object Hash Mapping and Secondary Indexes as well as the Spring Data Repository abstraction that lets one seamlessly interact with Redis.
Christoph Strobl and Mark Paluch overview the new features introduced in the latest Spring Data release trains, covering improvements to Commons, JPA, MongoDB, Redis, and the community modules.
Greg Turnquist explains how Spring Data avoids writing data queries by hand and provides the means to avoid SQL lock-in and connect to multiple data stores.
Doug Sherman reviews the efforts that took place in the initial phases which incorporated targeted parts of the Spring Framework, as well as more current efforts that leveraged Spring projects.
Petar Tahchiev demos a typical e-commerce project with the Nemesis platform, listing the problems faced and the Spring projects used: Data, Session, Cloud, Boot, MVC, Security, etc.
Roy Clarkson and Greg Turnquist discuss using Spring Data REST to build a back-end for a startup, exemplifying with Spring-A-Gram, an app built with Spring Data REST and secured by Spring Security.
Matt Stine presents how combine Spring Boot, Spring Data, Spring Reactor, Spring XD, Hadoop and run them in the cloud.
Michael Hunger and Lorenzo Speranzoni show how easy it is to get started with Spring Data Neo4j using Spring Boot.