Extremely Large Databases

XLDB attempts to tackle practical aspects related to extreme scale data sets, including data management and advanced data analytics / Machine Learning / Deep Learning. Main activities include identifying trends, commonalities and roadblocks related to managing, modeling and analyzing extreme scale data sets. The community also aims to facilitate development and growth of appropriate and related technologies.

Over a thousand people worldwide participate, with a rapidly growing community that gathers each year at the annual open XLDB event, typically organized at Stanford University. If you have experience with large data as a user, developer or a provider, get involved! If you want to help us with planning or stay informed, subscribe to one of our mailing lists.