Monday 14th March, 2011
3:30pm to 4:30pm
Faced with the costs of vertically scaling their relational database systems, developers are increasingly turning to Apache Cassandra as an alternative. Cassandra solves the scaling problem by partitioning data, expanding horizontally and promising replication consistency. Effectively utilizing Cassandra requires that developers take different approaches to the ways they model data used in their applications. This presentation will explain how Cassandra achieves scale and reliability, and give an example of porting a SQL schema to Cassandra.
DataStax co-founder and project chair for Apache Cassandra. At Mozy, I built a multi-petabyte, scalable storage system based on Reed-Solomon encoding. bio from Twitter
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