Extremely Large Databases

XLDB attempts to tackle practical aspects related to extreme scale data sets, including data management and advanced analytics / Machine Learning / Deep Learning. Main activities include identifying trends, commonalities and roadblocks related to managing and analyzing extreme scale data sets, and facilitating development and growth of appropriate technologies including (but not limited to) databases.

Over a thousand people worldwide participate, and the community is rapidly growing. The subset of the community 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.