Pedro Holanda

Full Name: P.T. Holanda
Function(s): PhD student

Email: Pedro.Holanda@cwi.nl
Telephone: +31 20 592 4134
Room: L315
Department(s): Database Architectures
Homepage: http://www.pedroholanda.me

Biography

Ph.D. candidate located in Amsterdam. Member of the Database Architecture group at CWI. My research is focused on progressive indexing techniques, self-tuning tools, embedded database systems, and in-database analytics.

Publications

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
Holanda, P.T, & Mühleisen, H.F. (2019). Relational queries with a tensor processing unit. In Proceedings of the 15th International Workshop on Data Management on New Hardware. doi:10.1145/3329785.3329932
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
Holanda, P.T. (2018). Progressive indices: Indexing without prejudice. In Proceedings of the VLDB 2018 PhD Workshop co-located with the 44th International Conference on Very Large Databases (VLDB 2018).
Holanda, P.T, Nerone, M, de Almeida, E.C, & Manegold, S. (2018). Cracking KD-Tree: The first multidimensional adaptive indexing. In DATA 2018 (pp. 393–399). doi:10.5220/0006944203930399
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, 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
Holanda, P.T, Raasveldt, M, & Kersten, M.L. (2017). Don’t Keep My UDFs Hostage - Exporting UDFs For Debugging Purposes. In Proceedings Brazilian Symposium on Databases.

Current projects with external funding

Data Mining on High Volume Simulation Output (DAMIOSO)