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Wednesday, August 24 • 10:15am - 11:00am
Fast Retail Analytics with the SMACK Stack

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As your retail operations grow, you need your infrastructure to scale with it, and you don't want to wait around for analytics. By selecting technologies that are open, distributed, and cloud-enabled, you have the opportunity to create infrastructure for analytics that meets all of those demands. Spark, Mesos, Akka, Cassandra, and Kafka are all open, scalable technologies whose popularity has increased dramatically in the last few years. Recently, the combination of those tools, known as the SMACK stack, has emerged as a scalable, fault-tolerant solution for a wide variety of data problems. We'll discuss what makes this combination so powerful, and walk through a retail use case for the SMACK architecture.

Speakers
avatar for Chad  Dvoracek

Chad Dvoracek

Data Engineer, The Nerdery
avatar for Josh Klun

Josh Klun

JVM Technology Manager, Nerdery


Wednesday August 24, 2016 10:15am - 11:00am
Room 2-213 Carlson School of Management, 321 19th Ave S, Minneapolis, MN 55455

Attendees (29)



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