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Apache Big Data Europe 2016

Apache: Big Data Europe 2016
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11:00 CET

Putting A Spark in Web Apps - David Fallside, IBM Giralda I/II Apache Gearpump Next-Gen Streaming Engine - Karol Brejna & Huafeng Wang, Intel Nervion/Arenal I

12:00 CET

Managing Deeply Nested Documents in Apache Solr - Anshum Gupta, IBM Watson Giralda V 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 Distributed In-Database Machine Learning with Apache MADlib (incubating) - Roman Shaposhnik, Pivotal Santa Cruz

15:30 CET

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

16:30 CET

Real Time Aggregates in Apache Calcite -- Optimal Use of your Streaming Data - Atri Sharma, Microsoft Nervion/Arenal I

11:00 CET

Building a Robust Analytics Platform with an Open-Source Stack - Dao Mi & Alex Kass, DigitalOcean Giralda V

12:00 CET

Create a Hadoop Cluster and Migrate 39PB Data Plus 150000 Jobs/Day - Stuart Pook, Criteo Giralda VI/VII Using Apache Calcite for Enabling SQL and JDBC Access to Apache Geode and Other NoSQL Data Systems - Christian Tzolov, Pivotal Nervion/Arenal II/III

13:00 CET

Large Scale Open Source Data Processing Pipelines at Trivago - Clemens Valiente, Trivago Giralda VI/VII

15:30 CET

Implementing BigPetStore in Spark and Flink - Márton Balassi, Cloudera Nervion/Arenal I

16:30 CET

Meerkat: Anomaly Detection as a Service - Julien Herzen, Swisscom Giralda V

11:00 CET

Big Data Machine Learning with Apache PredictionIO - Simon Chan, Salesforce Giralda V SQL and Streaming Systems - Atri Sharma, Microsoft Giralda VI/VII

12:00 CET

Mining and Identifying Security Threat Using Spark SQL, HBase and Solr - Manidipa Mitra, ValueLabs Giralda III/IV Apache Kudu: A Distributed, Columnar Data Store for Fast Analytics - Mike Percy, Cloudera Nervion/Arenal I

13:00 CET

Real Time Aggregation with Kafka, Spark Streaming and ElasticSearch, Scalable Beyond Million RPS - Dibyendu Bhattacharya, InstantLogic Giralda III/IV