BT

Facilitating the Spread of Knowledge and Innovation in Professional Software Development

Write for InfoQ

Topics

Choose your language

InfoQ Homepage Presentations Scalable Big Data Stream Processing with Storm and Groovy

Scalable Big Data Stream Processing with Storm and Groovy

Bookmarks
01:03:55

Summary

Eugene Dvorkin provides an introduction to Storm framework, explains how to build real-time applications on top of Storm with Groovy, how to process data from Twitter in real-time and the architectural decision behind WebMD MedPulse mobile application.

Bio

Eugene Dvorkin is software architect, developer and mentor specializing in Big Data, noSQL and distributed computing. Organizer of New York City Storm User Group.

About the conference

Pivotal and No Fluff Just Stuff bring you SpringOne 2GX 2014, a one-of-a-kind conference for application developers, solution architects, web operations and IT teams who develop business applications, create multi-device aware web applications, design cloud architectures, and manage high performance infrastructure. The sessions are specifically tailored for developers using the hugely popular open source Spring IO projects, Groovy & Grails, Cloud Foundry, Hadoop and Tomcat technologies. Whether you're building and running mission-critical business applications, designing the next killer cloud or big data application, SpringOne 2GX will keep you up to date with the latest enterprise open source technology.

Recorded at:

Jan 18, 2015

BT