Reactive data-pipelines with Spring XD and Kafka

Reactive data-pipelines with Spring XD andĀ Kafka

Slides from webinar on April 28, 2014 https://www.youtube.com/watch?v=v9_rlNzhl98

In the recent years, drastic increases in data volume as well as a greater demand for low latency have led to a radical shift in business requirements and application development methods. In response to these demands, frameworks such as RxJava and high throughput messaging systems such as Kafka have emerged as key building blocks. However, integrating technologies is never easy and Spring XD provides a solution. Through its development model and runtime, Spring XD makes it easy to develop highly scalable data pipelines, and lets you focus on writing and testing business logic vs. integrating and scaling a big data stack. Come and see how easy this can be in this webinar, where we will demonstrate how to build highly scalable data pipelines with RxJava and Kafka, using Spring XD as a platform.
In the recent years, drastic increases in data volume as well as a greater demand for low latency have led to a radical shift in business requirements and application development methods. In response to these demands, frameworks such as RxJava and high throughput messaging systems such as Kafka have emerged as key building blocks. However, integrating technologies is never easy and Spring XD provides a solution. Through its development model and runtime, Spring XD makes it easy to develop highly scalable data pipelines, and lets you focus on writing and testing business logic vs. integrating and scaling a big data stack. Come and see how easy this can be in this webinar, where we will demonstrate how to build highly scalable data pipelines with RxJava and Kafka, using Spring XD as a platform.

Ee7ff5474c7ecfe0ec209df0eeb531fa?s=128

Marius Bogoevici

April 28, 2015
Tweet