Mark Raasveldt
- Full Name
- M. Raasveldt
- Function(s)
- Researcher
- M.Raasveldt@cwi.nl
- Telephone
- +31 20 592 4169
- Room
- L324
- Department(s)
- Database Architectures
Publications
-
Raasveldt, M. (2020, June 9). Integrating analytics with relational databases. SIKS Dissertation Series.
-
Raasveldt, M, & Mühleisen, H.F. (2020). Data Management for Data Science - Towards Embedded Analytics. In Proceedings of the Conference on Innovative Data Systems Research.
-
Holanda, P.T, Raasveldt, M, Manegold, S, & Mühleisen, H.F. (2019). Progressive Indexes: Indexing for interactive data analysis. Proceedings of the VLDB Endowment, 12(13), 2366–2378. doi:10.14778/3358701.3358705
-
Raasveldt, M, & Mühleisen, H.F. (2019). [Demo] DuckDB: An embeddable analytical database. In Proceedings of the ACM SIGMOD International Conference on Management of Data (pp. 1981–1984). doi:10.1145/3299869.3320212
-
Raasveldt, M, Holanda, P.T, & Manegold, S. (2019). DevUDf: Increasing UDF development efficiency through IDE integration. It works like a PyCharm!. In Proceedings of the International Conference on Extending Database Technology (pp. 558–561). doi:10.5441/002/edbt.2019.55
-
Raasveldt, M. (2018). Integrating analytics with relational databases. In Proceedings of the VLDB 2018 PhD Workshop co-located with the 44th International Conference on Very Large Databases (VLDB 2018).
-
Gomes Tomé, D, Gubner, T.K, Raasveldt, M, Rozenberg, E, & Boncz, P.A. (2018). Optimizing group-by and aggregation using GPU-CPU co-processing. In Proceedings of the International Workshop on Accelerating Analytics and Data management Systems Using Modern Processor and Storage Architectures (pp. 1–10).
-
Raasveldt, M, Holanda, P.T, Gubner, T.K, & Mühleisen, H.F. (2018). Fair benchmarking considered difficult: Common pitfalls in database performance testing. In Workshop on Testing Database Systems. doi:10.1145/3209950.3209955
-
Raasveldt, M. (2018). MonetDBLite: An embedded analytical database. In Proceedings of the ACM SIGMOD International Conference on Management of Data (pp. 1837–1838). doi:10.1145/3183713.3183722
-
Raasveldt, M, Holanda, P.T, Mühleisen, H.F, & Manegold, S. (2018). Deep integration of machine learning Into column stores. In Advances in Database Technology - EDBT 2018 (pp. 473–476). doi:10.5441/002/edbt.2018.50
Current projects with external funding
-
Facebook Research Grant (Facebook)
-
Structure-aware Querying & Information Retrieval on Evolving Large Graphs (SQIREL-GRAPHS)
Awards
- MonetDBLite: An Embedded Analytical Database (2018)