A Recommender Approach to Enable Effective and Efficient Self-Service Analytics in Data Lakes. In Christoph Gröger, Holger Schwarz, and Theo Härder (Eds.), Datenbank-Spektrum, (23)2:123--132, Springer, July 2023. [PUMA: Data_Lake Data_Pre-Processing Data_Preparation Data_Refinement Recommender Self-Service_Analytics myown]
The Data Lake Architecture Framework: A Foundation for Building a Comprehensive Data Lake Architecture. Proceedings der 19. Fachtagung für Datenbanksysteme für Business,Technologie und Web (BTW 2021), 2021. [PUMA: big_data data_lake data_lake_architecture myown] URL
HANDLE - A Generic Metadata Model for Data Lakes. Proceedings of the 22nd International Conference on Big Data Analytics and Knowledge Discovery (DaWaK2020), 2020. [PUMA: data_lake data_modeling metadata myown]
Leveraging the Data Lake: Current State and Challenges.. In Carlos Ordonez, Il-Yeol Song, Gabriele Anderst-Kotsis, A Min Tjoa, and Ismail Khalil (Eds.), DaWaK, (11708):179-188, Springer, 2019. [PUMA: data_lake literature_review myown] URL
Modeling Data Lakes with Data Vault: Practical Experiences, Assessment, and Lessons Learned.. In Alberto H. F. Laender, Barbara Pernici, Ee-Peng Lim, and José Palazzo M. de Oliveira (Eds.), ER, (11788):63-77, Springer, 2019. [PUMA: big_data data_lake data_modeling myown] URL
A Zone Reference Model for Enterprise-Grade Data Lake Management. Proceedings of the 24th IEEE Enterprise Computing Conference (EDOC 2020), 2020. [PUMA: data_lake industry_case industry_experience myown reference_model zones] URL