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Establishing the Enterprise Data Marketplace: Characteristics, Architecture, and Challenges

, , , , and . Proceedings of the Workshop on Data Science for Data Marketplaces in Conjunction with the 48th International Conference on Very Large Data Bases, page 5:1--5:12. Sydney, VLDB Endowment, (September 2022)

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Data Lakes auf den Grund gegangen - Herausforderungen und Forschungslücken in der Industriepraxis, , , , , and . Datenbank Spektrum, (2020)The Enterprise Data Marketplace : a platform for democratizing company data. Universität Stuttgart, Stuttgart, Dissertation, (2024)Demand-Driven Data Provisioning in Data Lakes: BARENTS - A Tailorable Data Preparation Zone, , , , and . Proceedings of the 23rd International Conference on Information Integration and Web Intelligence, page 191--202. Linz, ACM, (November 2021)iiWAS 2021 Best Paper Award.Data Lakes auf den Grund gegangen., , , , , and . Datenbank-Spektrum, 20 (1): 57-69 (2020)Simplified Specification of Data Requirements for Demand-Actuated Big Data Refinement, , , , and . Journal of Data Intelligence, 3 (3): 366-400 (August 2022)How to Provide High-Utility Time Series Data in a Privacy-Aware Manner: A VAULT to Manage Time Series Data, , , , and . International Journal on Advances in Security, 13 (3 & 4): 88--108 (December 2020)Introducing the enterprise data marketplace : a platform for democratizing company data, , , , , and . Journal of Big Data, 10 (1): 173 (2023)HANDLE - A Generic Metadata Model for Data Lakes, , , , and . Proceedings of the 22nd International Conference on Big Data Analytics and Knowledge Discovery (DaWaK2020), (2020)The Data Lake Architecture Framework: A Foundation for Building a Comprehensive Data Lake Architecture, , , , , and . Proceedings der 19. Fachtagung für Datenbanksysteme für Business,Technologie und Web (BTW 2021), (2021)How to Provide High-Utility Time Series Data in a Privacy-Aware Manner: A VAULT to Manage Time Series Data, , , , and . International Journal on Advances in Security, 13 (3~&~4): 88--108 (December 2020)