Engineering the Future of Software
Feb 25–26, 2018: Training
Feb 26–28, 2018: Tutorials & Conference
New York, NY

Data services: Processing big data the microservice way

Mario-Leander Reimer (QAware GmbH)
1:15pm–2:05pm Tuesday, February 27, 2018
Cloud native, Microservices
Location: Mercury Ballroom Level: Beginner
Secondary topics:  Case Study, Overview
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Who is this presentation for?

  • Developers and architects

Prerequisite knowledge

  • Basic programming experience

What you'll learn

  • Understand why JEE and related technologies are very well suited to building data processing systems
  • Learn how to design and implement a scalable and resilient system of loosely coupled data processing tasks


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.

Photo of Mario-Leander Reimer

Mario-Leander Reimer

QAware GmbH

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.

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