Session: Radical NoSQL Scalability with Cassandra
Wednesday 11.10 - 12.00
Room: Double Rainbow
Cassandra is a scalable, highly available, column-oriented data store in use at Netflix, Twitter, Reddit, Rackspace, and other web-scale operations. It offers a compelling combination of a rich data model, a robust deployment track record, a sound architecture, and amazing performance at scale.
In this session, we'll talk about Cassandra's data model, look at its query idioms, talk about how to deploy it, and look at use cases in which it is an appropriate data storage solution. We'll study its origins in the Amazon Dynamo project and Google's BigTable, and learn how its architecture helps us achieve the gold standard of scalability: horizontal scalability on commodity hardware. You'll leave prepared to begin experimenting with Cassandra immediately and planning its adoption in your next project.
Experience with relational databases, interest in scalable data storage
Tim is a full-stack generalist and passionate teacher who loves coding, presenting, and working with people. He is a speaker internationally and on the No Fluff Just Stuff tour in the United States, and is co-president of the Denver Open Source User Group, co-presenter of the best-selling O'Reilly Git Master Class, co-author of Building and Testing with Gradle and a member of the O'Reilly Expert Network. He lives in Littleton with the wife of his youth and their three children.