Wednesday 17th February, 2016
2:30pm to 2:30pm
It’s March Madness! Be the office pool champion by using machine learning to predict your bracket for the NCAA tournament. Using a new Spring project, Spring Cloud Tasks, we will demonstrate how on demand processing can be used to handle various tasks including batch processing, ETL, data science tasks, and other non-descript functions that need to be executed on demand. A general understanding of the Spring Framework is assumed.
Project Lead Spring Batch and Spring Cloud Task
Michael Minella is a software engineer, teacher and author with over a decade of enterprise development experience. He is the project lead of Spring Batch and Spring Cloud Task as well as a member of the expert group for JSR-352 (java batch processing). 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 as well as hobbies including woodworking, photography, and InfoSec.
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