InfoQ Homepage Conferences Content on InfoQ
-
Orchestrate All the Things! with Spring Cloud Data Flow
Eric Bottard and Ilayaperumal Gopinathan discuss easy composition of microservices with Spring Cloud Data Flow.
/presentations/orchestrate-spring-cloud-data-flow/en/mediumimage/doibig.JPG)
-
Java (SE) State of the Union
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.
/presentations/java-past-future-openjdk/en/mediumimage/Gilbig.JPG)
-
Kanban Metrics in Practice
Mattia Battiston shares from his experience at Sky Network: what metrics they use, how they use them, what pitfalls they encountered and what little data they collect to get a whole lot of value.
/presentations/kanban-metrics-sky/en/mediumimage/Matbig.JPG)
-
Scaling Quality on Quora Using Machine Learning
Nikhil Garg talks about the various Machine Learning problems that are important for Quora to solve in order to keep the quality high at such a massive scale.
/presentations/quora-machine-learning/en/mediumimage/Nikbig.JPG)
-
Query Understanding: a Manifesto
Daniel Tunkelang talks about what search looks like when viewed through a query understanding mindset. He focuses on query performance prediction, query rewriting, and search suggestions.
/presentations/query-manifesto/en/mediumimage/Danibig.JPG)
-
Iterative Design for Data Science Projects
Bo Peng goes over how Datascope iterated on the major pieces of the Expert Finder application project to produce actionable insights and recommendations on methodologies.
/presentations/iterative-design-data-science/en/mediumimage/Bobig.JPG)
-
The Node.js Ecosystem in Perspective
Dan Shaw explores the implications of the decisions made while transforming application development from a Java to a JavaScript dominated environment and how they have impacted the Node.js ecosystem.
/presentations/nodejs-ecosystem/en/mediumimage/Danbig.JPG)
-
The Art of Relevance and Recommendations
Clarence Chio talks about the creation of a real-world relevance and recommendation system from scratch.
/presentations/relevance-recommendation-system/en/mediumimage/Clabig.JPG)
-
Lessons Learnt - Migrating from Spring XD to Spring Data Cloud Flow
Katie Mooney, Dillon Woods and Cahlen Humphreys point out key differences in Spring XD that have been resolved in Spring Cloud Data Flow.
/presentations/spring-xd-data-flow/en/mediumimage/doibig.jpg)
-
Reactive Kafka
Rajini Sivaram talks about Kafka and reactive streams and then explores the development of a reactive streams interface for Kafka and the use of this interface for building robust applications.
/presentations/kafka-reactive-streams/en/mediumimage/Rajbig.JPG)
-
Cloud Native Streaming and Event-driven Microservices
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.
/presentations/spring-cloud-data-flow-microservices/en/mediumimage/Marbig.JPG)
-
Troubleshooting RabbitMQ and Microservices That Use It
Micahel Klishin talks about how one can troubleshoot a distributed service-oriented system, focusing on Java, Spring, and RabbitMQ.
/presentations/spring-rabbitmq-microservices/en/mediumimage/Micbig.JPG)