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Apache Big Data Europe 2016

Apache: Big Data Europe 2016
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KK

Krunoslav Kovačić

09:30 CET

Keynote: Welcome & Opening Remarks - Rich Bowen, Vice President, Conferences, Apache Software Foundation Giralda I/II

09:45 CET

Keynote: Stream Processing as a Foundational Paradigm and Apache Flink's Approach to It - Stephan Ewen, CTO, Data Artisans Giralda I/II

10:10 CET

Keynote: Training Our Team in the Apache Way - Alan Gates, Co-Founder, Hortonworks Giralda I/II

11:00 CET

The Role of Apache Big Data Stack in Finance: A Real World Experience on Providing Added Value to Online Customers - Luca Rosellini, KEEDIO Giralda III/IV 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

Introducing Apache Apex: Next Gen Big Data Processing on Hadoop - Thomas Weise, DataTorrent Nervion/Arenal I

15:30 CET

Moven: Machine/Deep Learning Models Distribution Relying on the Maven Infrastructure - Sergio Fernandez, Redlink GmbH Nervion/Arenal II/III

16:30 CET

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

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

Building a Robust Analytics Platform with an Open-Source Stack - Dao Mi & Alex Kass, DigitalOcean Giralda V Native and Distributed Machine Learning with Apache Mahout - Suneel Marthi, Red Hat Santa Cruz A Java Implementer's Guide to Boosting Apache Spark Performance - Tim Ellison, IBM Giralda I/II

12:00 CET

Create a Hadoop Cluster and Migrate 39PB Data Plus 150000 Jobs/Day - Stuart Pook, Criteo Giralda VI/VII Using Apache Spark for Generating ElasticSearch Indices Offline - Andrej Babolcai, ESET Giralda I/II

13:00 CET

Massively Parallel Data Warehousing in the Hadoop Stack - Gregory Chase & Roman Shaposhnik, Pivotal Nervion/Arenal I

15:30 CET

Your Datascience Journey with Apache Zeppelin - Moon soo Lee, Anthony Corbacho & Jongyoul Lee, NFLabs Carmona Implementing BigPetStore in Spark and Flink - Márton Balassi, Cloudera Nervion/Arenal I

16:30 CET

Multi-Tenant Machine Learning with Apache Aurora and Apache Mesos - Stephan Erb, Blue Yonder GmbH Santa Cruz Writing Apache Spark and Apache Flink Applications Using Apache Bahir - Luciano Resende, IBM Giralda I/II

09:30 CET

Keynote: Introduction to Tensorflow: Tips and Tricks for Neural Net Design - Gema Parreño, AI Developer Giralda I/II

09:55 CET

Keynote: Lessons from the Trenches: How Apache Hadoop is Being Used & The Challenges Its Users Face - John Mertic, Director, ODPi and Open Mainframe Project, Linux Foundation Giralda I/II

11:00 CET

On-Premise, UI-Driven Hadoop/Spark/Flink/Kafka/Zeppelin-as-a-service - Jim Dowling, KTH Royal Institute of Technology Giralda III/IV 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

Mining and Identifying Security Threat Using Spark SQL, HBase and Solr - Manidipa Mitra, ValueLabs Giralda III/IV Hands On! Deploying Apache Hadoop Spark Cluster with HA, Monitoring, and Logging in AWS - Andrew Mcleod & Peter Vander Giessen, Canonical Giralda I/II Apache Kudu: A Distributed, Columnar Data Store for Fast Analytics - Mike Percy, Cloudera Nervion/Arenal I

13:00 CET

Highly Scalable Big Data Analytics with Apache Drill - Tom Barber, Meteorite Consulting Carmona Scio, a Scala DSL for Apache Beam - Robert Gruener, Spotify Nervion/Arenal II/III