HBaseCon 2012 | Storing and Manipulating Graphs in HBase

Understand several use cases for storing graphic data in HBase. E.g. social networks and web link graphs.

Date: Monday, Jun 18 2012

Description

Google’s original use case for BigTable was the storage and processing of web graph information, represented as sparse matrices. However, many organizations tend to treat HBase as merely a “web scale” RDBMS. This session will cover several use cases for storing graph data in HBase, including social networks and web link graphs, MapReduce processes like cached traversal, PageRank, and clustering and lastly will look at some lower-level modeling details like row key and column qualifier design, using FullContact’s graph processing systems as a real-world use case.