Facebook Hadoop/HBase case study (WebEx)

Agenda

17:30 - 18:00 Gathering

18:00 - 18:40 Facebook Hadoop/HBase case study
Presenter: Dhruba Borthakur, Hadoop Engineer at Facebook

Facebook recently deployed Facebook Messages, its first ever

user-facing application built on the Apache Hadoop platform.

Apache HBase is a database-like layer built on Hadoop designed

to support billions of messages per day. This talk describes the

reasons why Facebook chose Hadoop and HBase over other

systems such as Apache Cassandra and Voldemort and discusses

the applications requirements for consistency, availability,

partition tolerance, data model and scalability. We explore the

enhancements made to Hadoop to make it a more effective

realtime system, the tradeoffs we made while configuring the

system, and how this solution has significant advantages over the

sharded MySQL database scheme used in other applications at

Facebook and many other web-scale companies. We offer these

observations on the deployment as a model for other companies

who are contemplating a Hadoop-based solution over traditional

sharded RDBMS deployments.

18:40 - 19:15 Q&A