Massively Scalable NoSQL with Apache Cassandra

Jonathan Ellis (DataStax, Inc)
Sponsored Sessions
Location: E142
Average rating: ****.
(4.00, 2 ratings)

This session will explain how Apache Cassandra meets OLTP big data needs, and its relationship with big data analytics. Jonathan will explain why Cassandra is the leading big data OLTP solution and how Cassandra delivers linear scale-out capabilities with true high availability, with examples from real-world production use cases:

  • How Netflix migrated from Oracle to Amazon SimpleDB to Cassandra. Today they run over 57 Cassandra clusters across hundreds of nodes.
  • How Cassandra powers Twitter’s real-time analytics system, Rainbird
  • How deploying to Cassandra instead of traditional RDBMS technology was an order of magnitude less expensive for Constant Contact

Finally, we will cover why Cassandra is the right choice when you need availability and performance at scale and how Cassandra can integrate real-time, analytical, and enterprise search workloads with Hadoop and Solr.

This session is sponsored by Datastax

Jonathan Ellis

DataStax, Inc

Jonathan is CTO and co-founder at DataStax. Prior to DataStax, Jonathan worked extensively with Apache Cassandra while employed at Rackspace. Prior to Rackspace, Jonathan built a multi-petabyte, scalable storage system based on Reed-Solomon encoding for backup provider Mozy. In addition to his work with DataStax, Jonathan is project chair of Apache Cassandra.


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