Apache Cassandra & Apache Spark for Time Series Data - Patrick McFadin, Cassandra Chief Evangelist

Apache Cassandra & Apache Spark for Time Series Data
by
Patrick McFadin, Chief Evangelist for Apache Cassandra & Principle Solutions Architect at DataStax

Hosted by Eric David Benari

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 discuss how the storage model of Cassandra is ideal for time series use cases and go over examples of how to best build data models.

We will also cover pairing Apache Spark with Apache Cassandra to create a real time data analytics platform.

Attendees will leave this session knowing how to build their own real time data analytics platform, and will be shocked at how easy it is!

Patrick McFadin is a Chief Evangelist for Apache Cassandra. He also works as 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.

[floriansalihovic]

That was an awesome talk. Thanks for sharing.

[pataki]

Discussion of Spark & Cassandra starts at -38:15 elapsed. 

Slides I believe (but not 100% sure) are this deck: 

[technogica]

"Cassandra in fact foretold the doom of Oracle" :)