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:
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
This session is sponsored by Datastax
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.
For information on exhibition and sponsorship opportunities at the conference, contact Sharon Cordesse at (707) 827-7065 or firstname.lastname@example.org.
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