Using Spark Streaming for High Velocity Analytics on Cassandra - Databricks

Using Spark Streaming for High Velocity Analytics on Cassandra

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The Internet of Things is providing more data at a higher velocity than we’ve ever seen. With each device comes an implicit contract with the end user: you give us the data, we give you the results. Now. Not tomorrow. Not even fifteen minutes from now.

Our customers are organizations that have to turn data into meaning at high velocity. In other words, batch processing is a dead end. Spark Streaming and Cassandra together make up a platform for high velocity analytics where the mean time between receiving data and end-user outcomes is measured in milliseconds. In this session we will go over the highlights of a Spark Streaming / Cassandra platform and show some examples of how it enables the delivery of meaning at high velocity.

About Albert P Tobey

Al is a father, technologist, musician, and open source advocate working for Datastax. While attending university as a music major, Al got into MUDs, C, and Linux, eventually ending up with a career as a sysadmin. Over the last 15 years, Al has worked on everything from kernel drivers to HTML5 in both operations and development roles.