Big data processing, microservices, and cloud-native technology are a match made in computing heaven, enabling microservices to be used to build a flexible, scalable, and distributed system of loosely coupled data processing tasks, called data services.
Mario-Leander Reimer explores key JEE technologies that can be used to build JEE-powered data services and walks you through implementing the individual data processing tasks of a simplified showcase application. You’ll then deploy and orchestrate the individual data services using OpenShift, illustrating the scalability of the overall processing pipeline. The context and content is taken from a real-world project for a major German car manufacturer, implementing a microservices-based processing pipeline that uses car-related event data (sensor data, traffic events, and other real-time data) for a traffic information management and route optimization system.
M.-Leander Reimer has studied computer science at Rosenheim and Staffordshire University and is now working as a principal software architect for QAware GmbH. He is a senior Java developer and architect with several years of experience in designing and implementing complex distributed system architectures. He is continuously looking for innovations and ways to combine state of the art technology and open source software components to be successfully applied in real world customer projects.
Help us make this conference the best it can be for you. Have questions you'd like this speaker to address? Suggestions for issues that deserve extra attention? Feedback that you'd like to share with the speaker and other attendees?
Join the conversation here (requires login)
©2018, O'Reilly Media, Inc. • (800) 889-8969 or (707) 827-7019 • Monday-Friday 7:30am-5pm PT • All trademarks and registered trademarks appearing on oreilly.com are the property of their respective owners. • firstname.lastname@example.org