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Apache Big Data Europe 2016

Apache: Big Data Europe 2016
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Bruce Kuo

Yahoo!
Software Engineer
Taipei City, Taiwan

Chun-Ting Kuo (Bruce) works at Yahoo as a data engineer, and he dedicates his work on developing data products and scientific applications. His experience covers Spark, Hadoop, algorithms, and a little machine learrning. When he is free, he loves to code and know novel techniques.

11:00 CET

Practical Graph Analytics with Apache Giraph - Roman Shaposhnik, Pivotal Giralda VI/VII

12:00 CET

Building a Scalable Recommendation Engine with Apache Spark, Apache Kafka and Elasticsearch - Nick Pentreath, IBM Giralda I/II

13:00 CET

Uber - Your Realtime Data Pipeline is Arriving Now! - Ankur Bansal, Uber Giralda III/IV Distributed In-Database Machine Learning with Apache MADlib (incubating) - Roman Shaposhnik, Pivotal Santa Cruz

15:30 CET

Scalable Data Science in R and Apache Spark 2.0 - Felix Cheung, Committer Giralda I/II Streaming Report: Functional Comparison and Performance Evaluation - Huafeng Wang, Intel Nervion/Arenal I

16:30 CET

Deep Neural Network Regression at Scale in Spark MLlib - Jeremy Nixon, Spark Technology Center Giralda VI/VII

11:00 CET

Real Use Cases of Kappa Architecture - Juantomas Garcia, Open Sistemas Nervion/Arenal I

12:00 CET

Apache Ignite - Path to Converged Data Platform - Dmitriy Setrakyan, GridGain Giralda V

15:30 CET

AMIDST Toolbox: A Java Toolbox for Scalable Probabilistic Machine Learning - Andres Masegosa, NTNU Estepa Classifying Unstructured Text - Deterministic and Machine Learning Approaches - Christian Winkler & Stephanie Fischer, mgm Technology Partners GmbH Giralda V Getting Started Contributing to Apache Spark - Holden Karau, IBM Giralda I/II

16:30 CET

Ranking the Web with Spark - Sylvain Zimmer, Common Search Giralda III/IV

11:00 CET

Big Data Machine Learning with Apache PredictionIO - Simon Chan, Salesforce Giralda V

12:00 CET

Get in Control of Your Workflows with Apache Airflow - Christian Trebing, Blue Yonder Carmona Performance Tuning Tips for Apache Spark Machine Learning Workloads - Shreeharsha GN & Amir Sanjar, IBM Santa Cruz

13:00 CET

On the Representation and Reuse of Machine Learning Models - Villu Ruusmann, Openscoring Ltd. Santa Cruz