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Apache: Big Data 2015

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10:30 CEST

Cascading 3 and Beyond - André Kelpe, Concurrent Dery/Mikszath

11:30 CEST

Apache Tez - Helping You Build Your Hadoop Big Data Engines - Bikas Saha, Hortonworks Dery/Mikszath

14:00 CEST

Leveraging the Power of SOLR with SPARK - Johannes Weigend, QAware GmbH Dery/Mikszath

15:00 CEST

Apache Zeppelin - The Missing Component for the Spark Ecosystem - DuyHai Doan, Datastax Dery/Mikszath

16:00 CEST

Integrating Apache Spark with an Enterprise Data Warehouse - Michael Wurst, IBM Dery/Mikszath

10:30 CEST

Architecture of Flink's Streaming Runtime - Robert Metzger Dery/Mikszath

11:30 CEST

Spark and Machine Learning to the aid of the Data Scientist - Frank Ketelaars, IBM and Andrey Vykhodtsev,IBM Dery/Mikszath

14:00 CEST

Apache Sentry (incubating) : Fine-Grained Access Control to Hadoop Ecosystem - Sravya Tirukkovalur, Cloudera Dery/Mikszath

16:00 CEST

Netflix: Integrating Spark at Petabyte Scale - Cheolsoo Park, Netflix and Ashwin Shankar, Netflix Dery/Mikszath

10:00 CEST

Configuring and Optimizing Spark Applications with Ease - Nishkam Ravi, Cloudera Dery/Mikszath

11:00 CEST

Shared Memory Layer for Spark Applications - Dmitriy Setrakyan, GridGain Dery/Mikszath

12:00 CEST

Realtime Reactive Apps with Actor Model and Apache Spark - Rahul Kumar, Sigmoid Analytics Dery/Mikszath

14:30 CEST

Faster ETL Workflows Using Apache Pig & Spark - Praveen Rachabattuni, Sigmoid Analytics Dery/Mikszath

15:30 CEST

Introduction to Apache Tajo: Data Warehouse for Big Data - Jihoon Son, Gruter Dery/Mikszath

16:30 CEST

How Cognitive Computing is Changing Data Science for the Better - Michael Ludden, IBM Dery/Mikszath