Michael Minella uses Spring XD and Spring Batch to orchestrate the full lifecycle of Hadoop processing and uses Apache Mahout to provide the audience with the recommendation processing.
Matt Stine presents how combine Spring Boot, Spring Data, Spring Reactor, Spring XD, Hadoop and run them in the cloud.
Tal Weiss discusses some essential tools and advanced techniques Java developers can use in their code to debug live servers and resolve errors quickly.
Todd Montgomery discusses how Java 8 has faired with a few new high performance network projects.
Peter Norvig keynotes on using machine learning techniques to solve more general software problems, helping both the advanced programmer and the novice one.
Ken Krueger and Rob Winch provide an overview of testing Spring Web applications.
Gunnar Hillert provides an overview of the current landscape and illustrate the choices the Spring XD team has made for its user interface.
Jeremy Gibbons explains categories, focusing on them as an organizing principle helpful in managing generic libraries.
Dean Wampler takes a look at SQL’s resurgence and specific example technologies, including: NewSQL, Hybrid SQL, SQL abstractions on top of file-based data, SQL as a functional programming language.
Peter Bourgon provides a practical introduction to Conflict-free Replicated Data Types (CRDTs) and describes a production CRDT system built at SoundCloud to serve several product features.
Mark Madsen explains the history of databases and data processing over the past decades and looks where the industry will go.
Tim Rath explains how and why Amazon incorporated more powerful testing methodologies, ultimately leading them to the use of formal methods where TLA+ has become a cornerstone to our overall strategy.