Gil Tene presents the current state of Java SE and OpenJDK, the role of Java in the Big Data and Infrastructure components, JCP, the ecosystem, trends, etc.
Marius Bogoevici demonstrates how to create complex data processing pipelines that bridge the big data and enterprise integration together and how to orchestrate them with Spring Cloud Data Flow.
Thomas Risberg discusses developing big data pipelines with Spring, focusing around the code needed and he also covers how to set up a test environment both locally and in the cloud.
Uses of Big Data by a Non-Profit Engaged in Conducting Events Funded in Part by Third Party Sponsors
Thomas Grilk discusses how a non-profit can efficiently use data from customers/athletes in its marketing and sponsorship activities while respecting the privacy and confidentiality of its customers.
Brian Korzynski introduces DocumentDB, a document database offering on the Azure platform: what it is, how to use it, how much it costs, and how it compares to other cloud document database offerings.
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.
This talk covers how the Spring Boot and the Cloud Foundry Java Buildpack auto-configuration mechanisms work, their limitations, and how to explicitly configure connections when needed.
Mark Paluch and John Blum present the changes in Spring Data Cassandra and what to expect from the upcoming version.
Preslav Le talks about how Dropbox’s infrastructure evolved over the years, how it looks today, as well the challenges and lessons learned on the way.
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.