Interested in time series use cases? For example, storing and processing click stream 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.
About the speaker
Patrick McFadin is an expert at Apache Cassandra data modelling techniques. As the Chief Evangelist for Apache Cassandra and consultant for DataStax, he has helped build some of the largest deployments in the world. Previous to DataStax, he was Chief Architect at Hobsons, an education services company. There, he spoke often on Web Application design and performance.
From the host
We're hosted this month by HuffPost Code (http://www.huffingtonpost.com/huffpost-code/), a new vertical from the HuffPost Labs team. HuffPost Code is dedicated to design, development and data content. Interested in writing or learning more about Code? Email [masked] . Follow HuffPost Code on Twitter (https://twitter.com/HuffPostCode) and Facebook (https://www.facebook.com/huffpostcode?ref=hl) for updates. Also, we're hiring (http://code.huffingtonpost.com/jobs)!