Deutschenglish

Big Data Use Case Identification

Internal advisor: Matthias Volk

At current times, data-intensive systems are getting more and more complex. Consequently, a thorough understanding of related domains is required; this includes knowledge and experience in terms of not only the general planning but also the technical implementation. The main goal of this project is to identify promising big data use cases that were successfully conducted in recent years. Furthermore, similarities between those and previously discovered cases need to be identified.

Subtasks:

-        Conduct a structured literature review.

-        Identify use case descriptions from 2018-today.

-        Connect your results with those from previous studies.

-        Finalize everything within a project paper.