With a billion users and requirements to analyze more than 105 terabytes every 30 minutes, Facebook’s appetite for crunching data has reached Godzilla-like proportions. Much of that data — including ...

As the world’s largest social network, Facebook accumulates more data in a single day than many good size companies generate in a year. Facebook stores much of the data on its massive Hadoop cluster, ...

Facebook has beaten some of the limitations of the Apache Hadoop data processing platform, its engineers assert. Facebook has released source code for scheduling workloads on the Apache Hadoop data ...

Facebook eats up huge amounts of data, more is added and consumed each day. Facebook is not the only site with this problem, but it's clearly one of the biggest. As many big sites, Facebook relies on ...