Mark Pollack discusses Spring XD and its integration driven by the Big Data ecosystem at large such as Kafka, Spark, functional programming, integration with Python, and designer/monitoring UIs.
Fátima Casaú discusses applications with Spring, support for ‘Groovy’ and also the use of ‘GORM (Grails Object Relational Mapping)’ as well as ‘Hibernate’ for persistence.
S Aerni, S Ramanujam and J Vawdrey present approaches and open source tools for wrangling and modeling massive datasets, scaling Java applications for NLP on MPP through PL/Java and much more.
Christoph Strobl focuses on integrating search solutions like Solr, Elasticsearch as well as MongoDBs full text search into an application.
R Tsang shows how to create a Java-based microservice using Spring Boot, containerize it using Maven plugins and deploy a fleet of microservices and dependent components such as Redis using Kubernetes
Jesus Rodriguez explores the characteristics of the IOT PaaS vs. predecessor PaaS architectures, focusing on device management, event driven integration, real-time analytics and offline communication.
Scott Seighman discusses causes of common performance issues in Big Data environments, heap size, garbage collection, JVM reuse tuning guidelines and Big Data performance analysis tools.
Bob Familiar introduces microservices, discussing their architecture and outlining cloud deployment scenarios, exemplified by a live demo on Microsoft Azure.
Lyndon Maher, Paul McManus discuss data driven development, how to collect data, getting feedback, tools to use, and how to integrate a data-driven mentality into the team.
Yan Cui shares lessons learned using Neo4j to model the in-game economy of the "Here Be Monsters" game and automate the balancing process.
Alexander Stigsen explores the challenges & opportunities in developing for the new mobile cloud, where most of the processing power is not in a datacenter but in the pockets of users.
Viktor Gamov covers In-Memory technology, distributed data topologies, making in-memory reliable, scalable and durable, when to use NoSQL, and techniques for Big In-Memory Data.