Contact
Universitätsstraße 38
70569 Stuttgart
Germany
Room: 2.160
Office Hours
Please make an appointment via e-mail.
Subject
Data is one of the most popular resources of our time, as it can be used to gain many valuable insights. These can be used profitably, for example to create new products or services or to optimise existing processes. To do this, the data must be analysed. With the help of centralised data management systems such as Data Lake, domain experts can work with data from multiple source systems in a consolidated form.
Data Mesh is a new approach to managing, sharing and accessing data at scale that uses decentralisation to overcome the challenges of centralised approaches. While more and more progress is being made in the realisation of Data Mesh, it remains unclear how exactly Data Mesh can be designed and implemented in a concrete case, including in terms of data products, federated management and interoperability. The aim of my research is therefore to investigate approaches for realising the Data Mesh concept in an industrial context.
2025
Schneider, Jan; Schuiki, Laura; Giebler, Corinna; Lutsch, Arnold; Hoos, Eva; Schwarz, Holger: Data Products: Overcoming the Boundaries of Data Platforms to Facilitate Data Sharing in Enterprises. In: Proceedings of the 21st Conference on Database Systems for Business, Technology and Web, 2025 (Bamberg, March 2025).
[PDF][DOI]
Laura Schuiki, Christoph Stach, Corinna Giebler, Eva Hoos, and Bernhard Mitschang. Enabling Trusted Data Sharing in Data Spaces: PROTON - A Privacy-by-Design Approach to Data Products. In Proceedings of the 11th International Conference on Information Systems Security and Privacy - Volume 1 (ICISSP ’25) (Porto, February 2025). Edited by Roberto Di Pietro, Karen Renaud, and Paolo Mori. ICISSP ’25, SciTePress, pages 95–106. isbn: 978-989-758-735-1
[PDF][DOI]
2024
Christoph Stach, Yunxuan Li, Laura Schuiki, and Bernhard Mitschang. LALO—A Virtual Data Lake Zone for Composing Tailor-Made Data Products on Demand. In Proceedings of the 35th International Conference on Database and Expert Systems Applications (DEXA ’24) (Naples, August 2024). Edited by Christine Strauss, Toshiyuki Amagasa, Giuseppe Manco, Gabriele Kotsis, A Min Tjoa, and Ismail Khalil. Volume 14911 of LNCS, Springer, pages 288–305. isbn: 978-3-031-68311-4
[PDF][DOI]
Laura Schuiki. Concepts towards the Implementation of a Data Mesh in Industry Practice. PhD Forum at 18th Symposium and Summer School On Service-Oriented Computing. (Greece, June 2024)
Master Thesis
Laura Schuiki. Adding Privacy Dimensions to the Data Mesh Concept. Master Thesis. Institute for Prallel and Distributed Systems, Department Application, University of Stuttgart, November 2023, 95 pages.
[PDF][DOI]
In Progress
- A Concept for the Virtualization of Data Products in Data Meshes
- Development of a Metadata Model for Data Products to Improve the Data Product Definition
- Development of a Data Product Lifecycle to Improve Data Product Management
Completed
Winter Semester 2024/2025
- Exercise "Advanced Data-Intensive Business Innovation"
Supervision
Summer Semester 2024
- Advanced Seminar "Advanced Topics in Data Management"
Supervision - Practical Course "Information Systems: Data-intensive Computing"
Supervision