Time series analysis with Spark and Cassandra

Time series data is everywhere: IoT, sensor data, financial transactions. The industry has moved to databases like Cassandra to handle the high velocity and high volume of data that is now common place. However data is pointless without being able to process it in near real time or do batch analytics.

That’s where Spark combined with Cassandra comes in, what was one just your storage system can be transformed into your analytics system, and you’ll be surprised how easy it is!

Click here to watch this talk with slides

Christopher Batey (@chbatey) is a Software Engineer by trade and is currently employed by DataStax as a Technical Evangelist for Apache Cassandra. Chris has also worked for Sky, where he helped build their online television platform, and IBM, where he helped develop a variety of messaging products. He spends a lot of his own time contributing back to the software community.
He’s founder of an open source test double for Apache Cassandra: Stubbed Cassandra, helps with the running of the London Java Community and blogs regularly at: http://christopher-batey.blogspot.co.uk/.

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