Loading…
Apache: Big Data Europe 2016
Click here to Register or for more information 

Popular Events

 

#1

Keynote: Hadoop Infrastructure @Uber Past, Present and Future - Mayank Bansal, Sr. Engineer, Uber

#2

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

#3

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

#4

Keynote: The ASF's Big Tent - Sean Owen, Director of Data Science, Cloudera

#5

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

#6

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

#7

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

#8

Building a Scalable Recommendation Engine with Apache Spark, Apache Kafka and Elasticsearch - Nick Pentreath, IBM

#9

Coffee Break

#10

Lunch Break (Attendees on Own)

#11

Coffee Break

#12

Breakfast

#13

Uber - Your Realtime Data Pipeline is Arriving Now! - Ankur Bansal, Uber

#14

Onsite Attendee Reception & Sponsor Showcase

#15

Introduction to Apache Beam - Jean-Baptiste Onofré, Apache Software Foundation & Dan Halperin, Google

#16

Breakfast

#17

Large Scale Open Source Data Processing Pipelines at Trivago - Clemens Valiente, Trivago

#18

Lunch Break (Attendees on Own)

#19

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

#20

Registration

#21

Machine Learning in Apache Zeppelin - Alexander Bezzubov, NF Labs

#22

Coffee Break

#23

Breakfast

#24

Streaming Report: Functional Comparison and Performance Evaluation - Huafeng Wang, Intel

#25

Practical Graph Analytics with Apache Giraph - Roman Shaposhnik, Pivotal

#26

Classifying Unstructured Text - Deterministic and Machine Learning Approaches - Christian Winkler & Stephanie Fischer, mgm Technology Partners GmbH

#27

Big Data Machine Learning with Apache PredictionIO - Simon Chan, Salesforce

#28

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

#29

Apache Gearpump Next-Gen Streaming Engine - Karol Brejna & Huafeng Wang, Intel

#30

Implementing BigPetStore in Spark and Flink - Márton Balassi, Cloudera

#31

Interactive Analytics at Scale in Apache Hive Using Druid - Jesús Camacho Rodríguez, Hortonworks

#32

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

#33

A Java Implementer's Guide to Boosting Apache Spark Performance - Tim Ellison, IBM

#34

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

#35

Scalable Data Science in R and Apache Spark 2.0 - Felix Cheung, Committer

#36

Parquet Format in Practice & Detail - Uwe L. Korn, Blue Yonder

#37

Hive 2.0 SQL, Speed, Scale - Alan Gates, Hortonworks

#38

Building Apache Spark Application Pipelines for the Kubernetes Ecosystem - Michael McCune, Red Hat

#39

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

#40

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

#41

Using Apache Calcite for Enabling SQL and JDBC Access to Apache Geode and Other NoSQL Data Systems - Christian Tzolov, Pivotal

#42

Distributed In-Database Machine Learning with Apache MADlib (incubating) - Roman Shaposhnik, Pivotal

#43

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

#44

Native and Distributed Machine Learning with Apache Mahout - Suneel Marthi, Red Hat

#45

SystemML - Declarative Machine Learning - Luciano Resende, IBM

#46

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

#47

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

#48

Hadoop, Hive, Spark and Object Stores - Steve Loughran, Hortonworks

#49

Your Datascience Journey with Apache Zeppelin - Moon soo Lee, Anthony Corbacho & Jongyoul Lee, NFLabs

#50

Processing Planetary Sized Datasets - Tim Park, Microsoft