Weather is both massive and intensely local. Building a weather service involves capturing lots of data for many, many places over long timeframes, applying intensive analysis to those datasets to predict what will happen next, and then delivering those insights to the millions mobile users and other endpoints who request it, all within a fraction of a second.
Here we share the slides from Robbie Strickland's Spark Summit talk.
In the slides, Robbie offers the full end-to-end view of how The Weather Company uses Apache Spark™ to manage this large-scale challenge.
Robbie Strickland is Vice President of Software Engineering at The Weather Company where he leads the team that builds data analysis services for the digital business, serving the likes of weather.com, Weather Underground, and the TWC mobile apps. He has been involved in the Cassandra project since 2010 and has contributed in a variety of ways over the years, including work on drivers for Scala and C#, the Hadoop and Spark integrations, heading up the Atlanta Cassandra Users Group, and answering lots of Stack Overflow questions. He has been selected as a Cassandra MVP for 2015 and 2016.
See the slides on SlideShare or below...