Hadoop

This post details Facebook's early adoption and integration of the open-source Hadoop framework for large-scale data storage and processing. It highlights the use of Hadoop's distributed file system and map-reduce paradigm to enable previously impossible computational projects, leading to improved user experience and publicly released features. The post also introduces Hive, an in-house data warehousing layer over Hadoop that adds features like partitioning, sampling, and indexing, with plans for an open-source release.