• Database Management Systems
• Distributed Databases
• Apache Spark ecosystem
Database Management Systems
Apache Spark ecosystem
In March 2014 Romulo joined Netherlands eScience Center after his post-doctoral research at IBM Almaden research center.
Romulo obtained a Systems and Computer Science Engineering Academic Degree at University of Minho, Braga, Portugal on July 2006. On March 2013 he received a PhD degree from the University of Amsterdam entitled “The DataCyclotron: Juggling data and queries for a data warehouse audience”. The research was conducted at CWI Database group place where he also worked in several other projects such as SkyServer, DataCell and Recycler. In the latter the team was awarded with a SIGMOD best paper runner-up award in 2009
In January 2013 he joined IBM Almaden for his post-doctoral research. At IBM he worked on Big SQL 3.0, an SQL on Hadoop offering that leverages IBM’s state-of-the-art relational database technology, without imposing any database structures or restrictions, hence keeping the exibility of Hadoop. Big SQL 3.0 injects IBM database technology for query optimization and execution to provide high performance SQL over Hadoop data.
Romulo joined the Netherlands eScience Center as core eScience engineer responsible for data management and databases. He works on strategic collaborations and alliances to research, design and implement data management solutions for spatiotemporal analysis on large banks of remote sensing data.
Since June 1, 2018 he is the Tech Lead for Data Management. He is responsible to foresee which technologic directions on optimized data handling NLeSC should follow to enable Space, Earth and Life Sciences short- and long- term research agendas.