This is my personal home page. I am a PhD on Computer Science by the University of São Paulo, Brazil. My thesis was primarily focused on the processing of multiple joins (Star Joins) in distributed systems. In 2016, I did an internship at the University of California San Diego, with Prof. Yannis Papakonstantinou.
My primary research interests are in improving the performance of decision-making systems and large databases hosted in distributed systems. This involves the use of recent technologies (e.g. Hadoop) in combination with well established concepts and architectures (e.g. OLAP in Data Warehouses).
I am currently located in Los Angeles, California.
Efficient Approximate Query Answering over Sensor Data with Deterministic Error Guarantees. J Brito, K Demirkaya, B Etienne, Y Katsis, C Lin, Y Papakonstantinou. arXiv preprint arXiv:1707.01414
Faster cloud star joins with reduced disk spill and network communication. JJ Brito, T Mosqueiro, RR Ciferri, CD de Aguiar Ciferri. Procedia Computer Science 80, 74-85
Efficient processing of drill-across queries over geographic data warehouses. J Brito, T Siqueira, V Times, R Ciferri, C de Ciferri. Data Warehousing and Knowledge Discovery, 152-166
Awards & fellowships
- Microsoft Azure Research grant (MS-AZR-0036P), 2015-present
- FAPESP BEPE fellowship with University of California San Diego, 2016-2017
- PAE scholarship - Teaching Assistant to Databases (2011,2014)
- FAPESP PhD scholarship - University of São Paulo, 2012-2017
- CAPES Masters scholarship - University of São Paulo, 2010-2012