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The Apache Cassandra database has added many new enterprise features this year based on the real-world needs of companies like Twitter, Netflix, Openwave, and others building massively scalable systems.
Apache Cassandra addresses a wide variety of real-time big data needs. Capable of tracking transactions in financial markets or the actions of millions of users in massively multiplayer games, Cassandra handles the demands of large volume applications and data streams. Whether it’s storing billions of emails or backing up terabytes of files, Cassandra can store large amounts of data and scale near-infinitely. In today’s information age, Cassandra excels at storing and serving massive amounts of data at low-latency – from geolocation data to server performance metrics, and more.
This talk will cover the motivation and use cases behind features such as secondary indexes, Hadoop integration, SQL support, bulk loading, and more.
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 Racksace. 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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