Java Wearables / IoT Scale Data Arch

Oct 15, 2015 · Murray, United States of America

5:30-6:00 : Pizza 
6:00-7:00 : "Catch me if you can", Java on wearables - Gerrit Grunwald 
7:00-8:00 : The Internet of Things - Bryan Reinero
8:00 : Door Prizes 


"Catch me if you can" - Java on wearables
Wearable computers are one of the next big things. But at the moment, one can only buy specialized systems such as motion trackers, GPS watches, and the like. So why not use existing cheap technology to build your own wearable Java-powered device? This session shows what you can do with affordable technology and Java today. It uses an Odroid-W in combination with a heart rate sensor, a GPS sensor and a BMP180 to track the heart rate and location of a runner. The battery-powered device measures the data and publishes it via MQTT to different clients such as Java(FX)-based desktop clients and a smartwatch the runner can wear. Come get some ideas of what you can do with Java and wearable devices. Gerrit Grunwald is a developer evangelist with more than ten years of experience in software development. Gerrit is interested in desktop, mobile and embedded projects based on all possible technologies. He is a true believer in open source and has participated in popular projects like as well as his own projects (Enzo JavaFX, Enzo Android, Enzo Canvas, SteelSeries Swing, SteelSeries Canvas). Gerrit is an active member of the Java community, where he founded and leads the Java User Group Münster (Germany), he co-leads the JavaFX and IoT community, is a JavaOne rockstar and Java Champion. He is a speaker at conferences and user groups internationally and writes for several magazines.
The Internet of Things
The Internet of Things (IoT) concerns data drawn from a great number of devices ranging from globally deployed sensors, industrial automation, embedded systems and wearable devices. Building a performant data layer in support of IoT workloads is a unique challenge, both due to the high volume of data as well as the analytics required of these systems. The ubiquity of networked devices has provided a rich and broad dataset from which an opportunity to enhance user engagement via analytics. This talk will describe architectures built to withstand high load while assuring high availability and being well integrated with analytics frameworks such as Spark and Hadoop. This includes database architecture, schema design, data models and the Spark/Hadoop connectors.
Bryan Reinero is a Developer Advocate working with the community MongoDB users. Formerly a Senior Consulting Engineer at MongoDB, Bryan helped users optimize MongoDB for scale and performance and a was contributor to the Java Driver. Earlier, Bryan was Software Engineering Manager at Valueclick, building and managing large scale marketing applications for advertising, retargeting, real-time bidding and campaign optimization. Earlier still, Bryan specialized in software for embedded systems at Ricoh Corporation and developed data analysis and signal processing software at the Experimental Physics Branch of Ames Research Center. 

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