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10:50am • 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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11:50am • Introducing Datasets: Bringing Compile Time Type Checking and Functional Transformations to Spark DataFrames - Holden Karau, IBM
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2:00pm • Shared Memory Layer for Spark Applications - Dmitry Setrakyan, GridGain
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3:00pm • Time Series Processing with Apache Spark - Josef Adersberger, QAware GmbH
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4:10pm • Secure Spark Shuffle: A Fast and Convenient Approach Using Chimera - Cheng Xu, Intel
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5:10pm • Mining Public Datasets Using Apache Zeppelin (incubating) and Spark - Alexander Bezzubov, NFLabs