Apache Cassandra and DataStax
Apache Cassandra is the right choice when you need scalability and high availability without compromising performance. It offers linear scalability for data velocity and volume, while providing fault tolerance of servers, racks and even data centres. Cassandra's data model offers the convenience of column indexes with the performance of log-structured updates, strong support for denormalization and materialized views, and powerful built-in caching.
This talk will cover these technical capabilities of Apache Cassandra and DataStax Enterprise, followed by some interesting use-cases. This talk will also show the value that Apache Spark adds to the ecosystem and why Solr is a good fit on Apache Cassandra data.