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Apache Big Data Europe 2016

Apache: Big Data Europe 2016
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Chun-Ting Kuo

Taipei City, Taiwan

12:00 CET

Machine Learning in Apache Zeppelin - Alexander Bezzubov, NF Labs Santa Cruz Building a Scalable Recommendation Engine with Apache Spark, Apache Kafka and Elasticsearch - Nick Pentreath, IBM Giralda I/II

15:30 CET

Scalable Data Science in R and Apache Spark 2.0 - Felix Cheung, Committer Giralda I/II

09:30 CET

Keynote: Hadoop Infrastructure @Uber Past, Present and Future - Mayank Bansal, Sr. Engineer, Uber Giralda I/II

09:55 CET

Keynote: The ASF's Big Tent - Sean Owen, Director of Data Science, Cloudera Giralda I/II

11:00 CET

Native and Distributed Machine Learning with Apache Mahout - Suneel Marthi, Red Hat Santa Cruz Smart Manufacturing with Apache Spark Streaming and Deep Learning - Prajod Vettiyattil, Wipro Technologies Giralda VI/VII A Java Implementer's Guide to Boosting Apache Spark Performance - Tim Ellison, IBM Giralda I/II

13:00 CET

Elastic Spark Programming Framework - A Dependency Injection Based Programming Framework for Spark Applications - Bruce Kuo Giralda I/II

16:30 CET

Multi-Tenant Machine Learning with Apache Aurora and Apache Mesos - Stephan Erb, Blue Yonder GmbH Santa Cruz Ranking the Web with Spark - Sylvain Zimmer, Common Search Giralda III/IV

11:00 CET

Introduction to Apache Beam - Jean-Baptiste Onofré, Apache Software Foundation & Dan Halperin, Google Nervion/Arenal II/III Big Data Machine Learning with Apache PredictionIO - Simon Chan, Salesforce Giralda V

12:00 CET

Performance Tuning Tips for Apache Spark Machine Learning Workloads - Shreeharsha GN & Amir Sanjar, IBM Santa Cruz

13:00 CET

Highly Scalable Big Data Analytics with Apache Drill - Tom Barber, Meteorite Consulting Carmona On the Representation and Reuse of Machine Learning Models - Villu Ruusmann, Openscoring Ltd. Santa Cruz