Own Time Series Data with Apache Cassandra and Apache Spark

Interested in time series use cases? For example, storing and processing financial or sensor data? Apache Cassandra has proven to be one of the best solutions for storing and retrieving time series data at high velocity and high volume.

This talk will give you an overview of the many ways you can be successful. We will discuss how the storage model of Cassandra is well suited for this pattern and go over examples of how best to build data models. There will also be examples of how you can use Apache Spark along with Apache Cassandra to create a real time data analytics platform. It’s so easy, you will be shocked and ready to try it yourself.

Patrick McFadin is a Principle Solutions Architect at DataStax, the commercial company behind Apache Cassandra. Prior to his work at DataStax he was the Chief Architect at Hobsons, an education services company. He obtained a BS in Computer Engineering from Cal Poly, San Luis Obispo and holds the distinction of being the only recipient of a medal (as anyone can find out) for hacking while serving in the US Navy.