As a Pivotal engineer, Glenn Renfro is a core committer for Spring Cloud Task, Spring Batch and Spring Cloud Data Flow. He has 13 years experience in designing, building and delivering enterprise level applications in Java and 20 years total of software development experience.
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.