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Wednesday, May 11 • 10:50am - 11:40am
Spark After Dark 2.0: Complete End-to-End, Real-time Advanced Analytics, Big Data Reference Pipeline Including Machine Learning, Graph Processing, and Text/NLP Analytics, and Streaming Approximations Using Kafka, Spark Streaming, Spark ML, Spark SQL - Chr

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The audience will participate in a live, interactive demo that generates personalized, real-time recommendations using the latest open source streaming and big data processing tools available. We’ll dive deep into not only the architecture and application code, but also the Spark, Cassandra, and ElasticSearch internal codebases that power this awesome combination of technologies. All code and demos are available on Github and DockerHub. Follow the links @ advancedspark.com.

Speakers
avatar for Chris Fregly

Chris Fregly

Developer Advocate, AI and Machine Learning, AWS


Wednesday May 11, 2016 10:50am - 11:40am PDT
Plaza C