Rebecca Kay Eichler

Zitationsmetriken

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

Publikationen

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]

Angebotene studentische Arbeiten

Laufende studentische Arbeiten

• Bachelorarbeit:
  Entwicklung eines Frameworks für das Erstellen von Datenprodukten im Data Mesh
• Masterarbeit:
  Entwurf einer Systemlandschaft für das Datenmanagement im Data-Mesh-Ansatz
• Fachpraktikum: 
  Evaluation of Data Marketplace Platforms

Abgeschlossene studentische Arbeiten

• MBA Project: 
  Data Sharing Incentivation Mechanims in Enterprise Data Marketplaces 
• Bachelorarbeit:
  Developement of Metadata Templates for Enterprise Data Marketplaces
  (Juli 2022)
• Bachelor Forschungsprojekt: 
  Modulare Anbindung von Metadatenmanagement-Tools im Datenmarktplatz
  (Juli 2022)
• StuPro: Interner Datenmarktplatz: Konzeption und Realisierung einer Plattform für den Austausch von Daten und datennahen Dienstleistungen
  (September 2021)
• Bachelorarbeit:
  Bedarfsgerechte Datenbereitstellung in einer vertrauenswürdigen Data-Science-Plattform
  (Dezember 2020)
• Bachelorarbeit:
  Entwicklung einer Datenbereitstellungsplattform für datenintensive IoT-Anwendungen
  (November 2020)
• Fachpraktikum:
  Implementation of a multi-layered framework for the holistic management of monitoring data
  (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.

Wintersemester 2022/2023 

• Übung "Data-Warehouse, Data-Mining und OLAP-Technologien"
  Organisation & Durchführung
• Seminar "Lakehouse Frameworks and Data Analytics"
  Betreuung

Wintersemester 2021/2022 

• Übung "Data-Warehouse, Data-Mining und OLAP-Technologien"
  Durchführung

Sommersemester 2020

• Seminar "Advanced Topics in Data Management"
  Betreuung

• 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