The connected car: An example of streaming real-time analytics
Date: This event took place live on August 20 2015
Presented by: Michael Minella
Duration: Approximately 60 minutes.
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In this webcast session we will explore the power of Spring XD in the context of the Internet of Things (IoT). We will look at a solution developed with Spring XD to stream real time analytics from a moving car using open standards. Ingestion of the real time data (location, speed, engine diagnostics, etc), analyzing it to provide highly accurate MPG and vehicle range prediction, as well as providing real time dashboards will all be covered. Coming out of this session, you'll understand how Spring XD can serve as the foundation of an IoT architecture. Basic Spring experience (understanding dependency injection) is helpful but not required.
About Michael Minella
Michael Minella is a software engineer, teacher and author with over a decade of enterprise development experience. Michael was a member of the expert group for JSR-352 (java batch processing). He currently works for Pivotal as the project lead for the Spring Batch project as well as an instructor at DePaul University. Michael is the author of Pro Spring Batch from Apress and the popular Refcard JUnit and EasyMock.
Outside of the daily grind, Michael enjoys spending time with his family and enjoys woodworking, photography and InfoSec hobbies.