Spark Summit 2014 brought the Apache Spark community together on June 30- July 2, 2014 at the The Westin St. Francis in San Francisco. It featured production users of Spark, Shark, Spark Streaming and related projects.
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.
Tupshin has been helping Cassandra users and DataStax customers build large scale, high velocity applications for years. As both a Solutions Architect as well as the lead Field Strategist for DataStax, he has seen deployments of every scale and in every sector. Recently specializing in the financial services space, he has worked with numerous banking industry customers to build and refine their mission critical, enterprise scale, operational data stores based on Cassandra and DataStax Enterprise. After 18 years in the Bay Area start-up scene, he recently packed up and moved to New York City.
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.