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Apache Big Data Europe 2016
Apache: Big Data Europe 2016
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Popular Spark Events
#1
Building a Scalable Recommendation Engine with Apache Spark, Apache Kafka and Elasticsearch - Nick Pentreath, IBM
#2
Scalable Data Science in R and Apache Spark 2.0 - Felix Cheung, Committer
#3
Building Apache Spark Application Pipelines for the Kubernetes Ecosystem - Michael McCune, Red Hat
#4
Deep Neural Network Regression at Scale in Spark MLlib - Jeremy Nixon, Spark Technology Center
#5
Open Source Operations: Building on Apache Spark with InsightEdge, TensorFlow, Apache Zeppelin, and/or Apache - Samuel Cozannet, Canonical
#6
Myriad, Spark, Cassandra, and Friends - Big Data Powered by Mesos - Jörg Schad, Mesosphere
#7
Putting A Spark in Web Apps - David Fallside, IBM
#8
Implementing BigPetStore in Spark and Flink - Márton Balassi, Cloudera
#9
A Java Implementer's Guide to Boosting Apache Spark Performance - Tim Ellison, IBM
#10
Getting Started Contributing to Apache Spark - Holden Karau, IBM
#11
Using Apache Spark for Generating ElasticSearch Indices Offline - Andrej Babolcai, ESET
#12
Elastic Spark Programming Framework - A Dependency Injection Based Programming Framework for Spark Applications - Bruce Kuo
#13
Writing Apache Spark and Apache Flink Applications Using Apache Bahir - Luciano Resende, IBM
#14
Ranking the Web with Spark - Sylvain Zimmer, Common Search
#15
Sparkler - Crawler on Apache Spark - Karanjeet Singh & Thamme Gowda, USC
#16
Power Pig with Spark - Liyun Zhang, Intel
#17
Shared Memory Layer and Faster SQL for Spark Applications - Dmitriy Setrakyan, GridGain
#18
Apache Ignite - JCache and Beyond - Dmitriy Setrakyan, GridGain
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Security
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Women in Big Data Luncheon
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