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Apache Big Data Europe 2016

Apache: Big Data Europe 2016
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11:00 CET

Demonstrating the Societal Value of Big & Smart Data Management - Simon Scerri, Fraunhofer IAIS Santa Cruz Apache Gearpump Next-Gen Streaming Engine - Karol Brejna & Huafeng Wang, Intel Nervion/Arenal I

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

13:00 CET

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

15:30 CET

Fighting Identity Theft: Big Data Analytics to the Rescue - Seshika Fernando, WSO2 Giralda III/IV

16:30 CET

How Big Data/IoT Leverage the Power of OpenSource to Solve Healthcare Use Cases - Manidipa Mitra, ValueLabs Giralda III/IV Interactive Analytics at Scale in Apache Hive Using Druid - Jesús Camacho Rodríguez, Hortonworks Nervion/Arenal II/III Deep Neural Network Regression at Scale in Spark MLlib - Jeremy Nixon, Spark Technology Center Giralda VI/VII Myriad, Spark, Cassandra, and Friends - Big Data Powered by Mesos - Jörg Schad, Mesosphere Carmona

11:00 CET

Apache HBase: Overview and Use Cases - Apekshit Sharma, Cloudera Carmona 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

Using Apache Calcite for Enabling SQL and JDBC Access to Apache Geode and Other NoSQL Data Systems - Christian Tzolov, Pivotal Nervion/Arenal II/III Using Apache Spark for Generating ElasticSearch Indices Offline - Andrej Babolcai, ESET Giralda I/II

13:00 CET

What 50 Years of Data Science Leaves Out - Sean Owen, Cloudera Estepa Elastic Spark Programming Framework - A Dependency Injection Based Programming Framework for Spark Applications - Bruce Kuo Giralda I/II

11:00 CET

Big Data Machine Learning with Apache PredictionIO - Simon Chan, Salesforce Giralda V Shared Memory Layer and Faster SQL for Spark Applications - Dmitriy Setrakyan, GridGain Nervion/Arenal I

12:00 CET

Apache Kudu: A Distributed, Columnar Data Store for Fast Analytics - Mike Percy, Cloudera Nervion/Arenal I

13:00 CET

Parquet Format in Practice & Detail - Uwe L. Korn, Blue Yonder Nervion/Arenal I