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 | 123 | 2019 |
The data-driven factory-leveraging big industrial data for agile, learning and human-centric manufacturing C Gröger, L Kassner, E Hoos, J Königsberger, C Kiefer, S Silcher, ... International Conference on Enterprise Information Systems 2, 40-52, 2016 | 49 | 2016 |
The data lake architecture framework C Giebler, C Gröger, E Hoos, R Eichler, H Schwarz, B Mitschang BTW 2021, 351-370, 2021 | 39 | 2021 |
The Stuttgart IT architecture for manufacturing: An architecture for the data-driven factory L Kassner, C Gröger, J Königsberger, E Hoos, C Kiefer, C Weber, ... Enterprise Information Systems: 18th International Conference, ICEIS 2016 …, 2017 | 37 | 2017 |
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 |
Ganzheitliches metadatenmanagement im data lake: Anforderungen, IT-werkzeuge und herausforderungen in der praxis C Gröger, E Hoos Gesellschaft für Informatik, Bonn, 2019 | 24 | 2019 |
ValueApping: an analysis method to identify value-adding mobile enterprise apps in business processes E Hoos, C Gröger, S Kramer, B Mitschang Enterprise Information Systems: 16th International Conference, ICEIS 2014 …, 2015 | 21 | 2015 |
Mobile apps in engineering: a process-driven analysis of business potentials and technical challenges E Hoos, C Gröger, B Mitschang Procedia CIRP 33, 17-22, 2015 | 19 | 2015 |
Improving Business Processes through Mobile Apps - An Analysis Framework to Identify Value-added App Usage Scenarios E Hoos, C Gröger, S Kramer, B Mitschang Proceedings of the 16th International Conference on Enterprise Information …, 2014 | 17* | 2014 |
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 |
From data asset to data product–the role of the data provider in the enterprise data marketplace R Eichler, C Gröger, E Hoos, H Schwarz, B Mitschang Symposium and Summer School on Service-Oriented Computing, 119-138, 2022 | 12 | 2022 |
Data shopping—how an enterprise data marketplace supports data democratization in companies R Eichler, C Gröger, E Hoos, H Schwarz, B Mitschang International Conference on Advanced Information Systems Engineering, 19-26, 2022 | 12 | 2022 |
Context-aware decision information packages: an approach to human-centric smart factories E Hoos, P Hirmer, B Mitschang Advances in Databases and Information Systems: 21st European Conference …, 2017 | 11 | 2017 |
Improving Problem Resolving on the Shop Floor by Context-Aware Decision Information Packages. E Hoos, P Hirmer, B Mitschang CAiSE-Forum-DC, 121-128, 2017 | 8 | 2017 |
Analysis method for conceptual context modeling applied in production environments E Hoos, M Wieland, B Mitschang Business Information Systems: 20th International Conference, BIS 2017 …, 2017 | 6 | 2017 |
Web-based collaboration system for interdisciplinary and interorganizational development teams: case study E Grochowski, E Hoos, S Waitzinger, D Spath, B Mitschang | 4* | |
Design method for developing a Mobile Engineering-Application Middleware (MEAM) E Hoos 2014 IEEE International Conference on Pervasive Computing and Communication …, 2014 | 3 | 2014 |
Introducing the enterprise data marketplace: a platform for democratizing company data R Eichler, C Gröger, E Hoos, C Stach, H Schwarz, B Mitschang Journal of Big Data 10 (1), 173, 2023 | 1 | 2023 |