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Fast Data: Selecting The Right Streaming Technologies For Never Ending Data Sets

Sponsor: 

Capital One is hosting the event and sponsoring for pizza and drinks. 

Schedule: 

5:30 pm - 6:00 pm: Networking, pizza, and drinks

6:00 pm - 6:05 pm: Welcome and Kickoff by Srini Palthepu

6:05 pm – 7:00 pm: Talk by Dean Wampler


Title:   Fast Data: Selecting The Right Streaming Technologies For Data Sets That Never End

Speaker:  Dean Wampler, Ph.D

Big Data’s traditional batch-mode orientation is giving way to Fast Data architectures, in part because there is a competitive advantage to extracting value from data as quickly as possible. However, the Fast Data landscape is confusing and changing rapidly. Dean will discuss the criteria you should consider to select the best tools and techniques for the job. He'll discuss a few of the more common tools and how they fit these criteria, including Kafka, Kafka Streams, Spark Streaming, Flink, and Akka Streams. He'll also discuss how established and new platforms, like Hadoop, Mesos, and Cloud services support these systems.

Bio

Dean Wampler, Ph.D. (@deanwampler), is the Architect for Big Data Products and Services in the Office of the CTO at Lightbend, where he focuses on the evolving "Fast Data" ecosystem for streaming applications based on Kafka, Spark, Flink, Mesos, the Lightbend Reactive Platform, and other tools. Dean is also an advocate for Functional Programming and Scala. He contributes to several open source projects and, and he co-organizes several Chicago-area Meetup groups and several conferences worldwide, including Strata + Hadoop World. Dean is the author or co-author of several books from O'Reilly.

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