| Leveraging the data lake: current state and challenges C Giebler, C Gröger, E Hoos, H Schwarz, B Mitschang Big Data Analytics and Knowledge Discovery: 21st International Conference …, 2019 | 125 | 2019 |
| HANDLE-A generic metadata model for data lakes R Eichler, C Giebler, C Gröger, H Schwarz, B Mitschang Big Data Analytics and Knowledge Discovery: 22nd International Conference …, 2020 | 43 | 2020 |
| Modeling metadata in data lakes—A generic model R Eichler, C Giebler, C Gröger, H Schwarz, B Mitschang Data & knowledge engineering 136, 101931, 2021 | 41 | 2021 |
| The data lake architecture framework C Giebler, C Gröger, E Hoos, R Eichler, H Schwarz, B Mitschang BTW 2021, 351-370, 2021 | 39 | 2021 |
| A zone reference model for enterprise-grade data lake management C Giebler, C Gröger, E Hoos, H Schwarz, B Mitschang 2020 IEEE 24th International Enterprise Distributed Object Computing …, 2020 | 36 | 2020 |
| Modeling data lakes with data vault: practical experiences, assessment, and lessons learned C Giebler, C Gröger, E Hoos, H Schwarz, B Mitschang Conceptual Modeling: 38th International Conference, ER 2019, Salvador …, 2019 | 32 | 2019 |
| Braid C Giebler, C Stach, H Schwarz, B Mitschang Proceedings of the 7th International Conference on Data Science, Technology …, 2018 | 30 | 2018 |
| Data Lakes auf den Grund gegangen: Herausforderungen und Forschungslücken in der Industriepraxis C Giebler, C Gröger, E Hoos, R Eichler, H Schwarz, B Mitschang Datenbank-Spektrum 20, 57-69, 2020 | 16 | 2020 |
| Enterprise-wide metadata management: an industry case on the current state and challenges R Eichler, C Giebler, C Gröger, E Hoos, H Schwarz, B Mitschang Business Information Systems, 269-279, 2021 | 15 | 2021 |
| Demand-driven data Provisioning in data lakes: BARENTS—A tailorable data preparation zone C Stach, J Bräcker, R Eichler, C Giebler, B Mitschang The 23rd International Conference on Information Integration and Web …, 2021 | 14 | 2021 |
| AMNESIA: A Technical Solution towards GDPR-compliant Machine Learning. C Stach, C Giebler, M Wagner, C Weber, B Mitschang ICISSP, 21-32, 2020 | 14 | 2020 |
| How to provide high-utility time series data in a privacy-aware manner: A VAULT to manage time series data C Stach, R Eichler, C Giebler, J Bräcker, C Gritti International Journal on Advances in Security 13 (3), 2020 | 14 | 2020 |
| Memory displays: Investigating the effects of learning in the periphery T Dingler, C Giebler, U Kunze, T Wűrtele, N Henze, A Schmidt Proceedings of the 5th ACM International Symposium on Pervasive Displays …, 2016 | 4 | 2016 |
| Datenschutzmechanismen für Gesundheitsspiele am Beispiel von Secure Candy Castle C Giebler, C Stach Datenbanksysteme für Business, Technologie und Web (BTW 2017)-Workshopband …, 2017 | 3 | 2017 |
| Architekturkonzepte zur Datenverwaltung in Data Lakes C Giebler | 1 | 2021 |
| Privatheit im Gesundheitsspiel Candy Castle C Giebler | 1 | 2016 |
| Implementation Patterns for Zone Architectures in Enterprise-Grade Data Lakes C Giebler, C Gröger, E Hoos, H Schwarz, B Mitschang International Conference on Advanced Information Systems Engineering, 267-283, 2024 | | 2024 |
| Erratum to: A Systematic Approach to Consuming Data in Complex Data Management Landscapes Using Data Consumption Patterns C Giebler, E Hoos Datenbank-Spektrum 23 (3), 233-233, 2023 | | 2023 |
| A Systematic Approach to Consuming Data in Complex Data Management Landscapes Using Data Consumption Patterns C Giebler, E Hoos Datenbank-Spektrum 23 (2), 117-122, 2023 | | 2023 |
| Simplified Specification of Data Requirements for Demand-Actuated Big Data Refinement. C Stach, J Bräcker, R Eichler, C Giebler, B Mitschang J. Data Intell. 3 (3), 366-400, 2022 | | 2022 |
Bernhard MitschangUniversität Stuttgart在 ipvs.uni-stuttgart.de 的电子邮件经过验证
