VLDB is a premier annual international forum for data management and database researchers, vendors, practitioners, application developers, and users. In 2020 it featured a strong program made up of a quarter of over 800 submitted research papers. The conference also featured three keynotes, many system demonstrations, and several industrial sessions, tutorials, and workshops.
The conference took place online in Virtual Tokyo at the beginning of September 2020 and attracted 4,800 registered participants. Dan Olteanu’s keynote reflects on the relevance of database research in the era of data science.
It highlights several key contributions that his team and collaborators made towards unifying machine learning and databases and showing how novel development in data processing can boost the performance of machine learning.