Rebecca Kay Eichler

Citation Metrics

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• ORCiD: 0000-0003-3094-6852
• ResearchGate: Profile 

Publications

2022

Eichler, R., Gröger, C., Hoos, E., Schwarz, H., Mitschang, B.: "From Data Asset to Data Product – The Role of the Data Provider in the Enterprise Data Marketplace." In: Proceedings of the 16th Symposium and Summer School On Service-Oriented Computing (SummerSoc 2022).
[PDF][DOI]

Eichler, R., Gröger, C., Hoos, E., Schwarz, H., Mitschang, B.: "Data Shopping — How an Enterprise Data Marketplace Supports Data Democratization in Companies." In: Proceedings of the 34th International Conference on Advanced Information Systems Engineering (CAiSE 2022).
[PDF][DOI]

Stach, C., Bräcker, J., Eichler, R., Giebler, C., and Mitschang, B.: "Simplified Specification of Data Requirements for Demand-Actuated Big Data Refinement." Journal of Data Intelligence, Volume 3, Number 3 (August 2022), pages 366–400. Edited by Ismail Khalil and Brahim Ouhbi. issn: 2577-610X.
[PDF] [DOI]

2021

Stach, C., Bräcker, J., Eichler, R., Giebler, C., and Mitschang, B. "Demand-Driven Data Provisioning in Data Lakes: BARENTS - A Tailorable Data Preparation Zone." In Proceedings of the 23rd International Conference on Information Integration and Web Intelligence (Linz, November 2021), iiWAS ’21, ACM, pages 1–12.
[PDF][DOI]

Eichler, R., Giebler, C., Gröger, C., Schwarz, H., Mitschang, B.: "Modeling metadata in data lakes—A generic model." Data & Knowledge Engineering (2021).
[PDF] [DOI]

Eichler, R., Giebler, C., Gröger, C., Hoos, E., Schwarz, H., Mitschang, B.: "Enterprise-Wide Metadata Management - An Industry Case on the Current State and Challenges." In: Proceedings of the 24th International Conference on Business Information Systems (BIS 2021).
[PDF][DOI]

Giebler, C., Gröger, C., Hoos, E., Eichler, R., Schwarz, H., Mitschang, B.: "The Data Lake Architecture Framework: A Foundation for Building a Comprehensive Data Lake Architecture." In: Proceedings der 19. Fachtagung für Datenbanksysteme für Business,Technologie und Web (BTW 2021).
[PDF] [BibTex] [DOI]

2020

C. Stach, J. Bräcker, R. Eichler, C. Giebler, and C. Gritti. "How to Provide High-Utility Time Series Data in a Privacy-Aware Manner: A VAULT to Manage Time Series Data." International Journal On Advances in Security, Volume 13, Number 3 & 4 (December 2020), pages 1–21.
[PDF] [BibTex] 

R. Eichler, C. Giebler, C. Gröger, H. Schwarz, and B. Mitschang, "HANDLE - A Generic Metadata Model for Data Lakes." In: Proceedings of the 22nd International Conference on Big Data Analytics and Knowledge Discovery (DaWaK2020). 2020.
[PDF] [BibTex] [DOI]

C. Giebler, C. Gröger, E. Hoos, R. Eichler, H. Schwarz, and B. Mitschang, "Data Lakes auf den Grund gegangen." In: Datenbank-Spektrum. Bd. 20(1). S. 57-69. 2020.
[PDF] [BibTex] [DOI]

Thesis

R. Eichler, "Metadata Management in the Data Lake Architecture"
Masterthesis. 2019.
[PDF]

Offered Student Projects

Student Projects in Progress

• Bachelor Thesis:
  Development of a Framework for Creating Data Products in the Data Mesh
  
• Master Thesis:
  Design of a System Landscape for Data Management in the Data Mesh Approach
• Pracitical Course: 
  Evaluation of Data Marketplace Platforms
  

Completed Student Projects

• MBA Project: 
  Data Sharing Incentivation Mechanims in Enterprise Data Marketplaces 
• Bachelor Thesis:
  Developement of Metadata Templates for Enterprise Data Marketplaces
  (Completed in July 2022)
• Bachelor Forschungsprojekt: 
  Modulare Anbindung von Metadatenmanagement-Tools im Datenmarktplatz
  (Completed in July 2022)
• StuPro: Internal data marketplace: Design and implementation of a platform for the exchange of data and data-related services.
  (Completed in Sep 2021)
• Bachelor Thesis:
  Bedarfsgerechte Datenbereitstellung in einer vertrauenswürdigen Data-Science-Plattform
  (Completed in December 2020)
• Bachelor Thesis:
  Entwicklung einer Datenbereitstellungsplattform für datenintensive IoT-Anwendungen
  (Completed in November 2020)
• Practical Course:
  Implementation of a multi-layered framework for the holistic management of monitoring data
  (Completed in November 2020)

Best Paper Award

Stach, C., Bräcker, J., Eichler, R., Giebler, C., and Mitschang, B. "Demand-Driven Data Provisioning in Data Lakes: BARENTS - A Tailorable Data Preparation Zone." In Proceedings of the 23rd International Conference on Information Integration and Web Intelligence (Linz, November 2021), iiWAS ’21, ACM, pages 1–12.

Winter Term 2022/2023 

• Exercise "Data-Warehouse, Data-Mining und OLAP-Technologien"
  Organisation & Execution
• Seminar "Lakehouse Frameworks and Data Analytics"
  Supervision

Winter Term 2021/2022 

• Exercise "Data-Warehouse, Data-Mining und OLAP-Technologien"
  Execution

Summer Term 2020

• Seminar "Advanced Topics in Data Management"
  Supervision

• Democratizing Data through Enterprise Data Marketplaces 
  SummerSoc, July 8th 2022
• Metadata Management in Complex Enterprise Data Landscapes
  Université Lyon 2, Institut de la Communication, January 24th 2022