Hadoop World 2011: Building Realtime Big Data Services at Facebook with Hadoop and HBase

Specific use cases and the work done at Facebook around building large scale, low latency and high throughput realtime services with Hadoop and HBase.

Date: Tuesday, Nov 08 2011
Facebook has one of the largest Apache Hadoop data warehouses in the world, primarily queried through Apache Hive for offline data processing and analytics. However, the need for realtime analytics and end-user access has led to the development of several new systems built using Apache HBase. This talk will cover specific use cases and the work done at Facebook around building large scale, low latency and high throughput realtime services with Hadoop and HBase. This includes several significant contributions to existing projects as well as the release of new open source projects.