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Informatik 5
Information Systems
Prof. Dr. M. Jarke
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Semantic Data Integration

Type Practical course (advanced level)
Term SS 20

In the lab course, students will use state-of-the-art data management technologies including analytics frameworks such as Apache Spark, data integration tools such as Talend Open Studio for Big Data, modeling languages such as OWL, and collaborative data modeling environments such as Mobi to develop advanced data integration workflows that integrate data from multiple sources and enrich it with semantic data. Various use cases will be studied during the course.

Learning Objectives:

  • Students are able to design complex data integration workflows
  • Students learn to create data management applications with state-of-the-art big data technologies
  • Students can handle semantic technologies to enrich data management applications
  • Students understand the complexity of data integration processes

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