Apache Cassandra is one of the more popular choices for storing big data. Fault tolerance, scalability, and raw performance are the most often cited features of this NoSQL database. Companies like Apple and Netflix have deployed thousands of nodes.
Aside from being an excellent database to store generic data, Cassandra is particularly well suited for storing time series data. What's more: employing Cassandra is not exclusive to large companies. Whether you're storing a couple of million records or want to insert a billion rows a day: everyone can benefit from using Cassandra!
This talk is aimed at beginners who might have heard of Cassandra, but haven't started using it yet. It will cover all the basics of using Cassandra for time series. After an introduction of what Cassandra is and how it stores data, we'll dive right into relevant subjects like data modelling and running queries. I'll use easy to understand, real world examples to show you how it works in practice.