Loading…

Popular Events

 

#1

Keynote: Apache's Key Role in the Big Data Industry - Arun Murthy, Hortonworks

#2

Keynote: Big Science and Big Data at CERN - Dirk Duellmann, CERN

#3

Keynote: How Apache Drives Spotify's Music Recommendations - Josh Baer, Spotify

#4

Keynote: The State of the Feather - Shane Curcuru, VP Brand Management, The Apache Software Foundation

#5

Keynote Panel: ODPi: Advancing Open Data for the Enterprise Panel - Anjul Bhambri, IBM; Konstantin Boudnik, WANdisco; Owen O'Malley, Hortonworks; Roman Shaposhnik, Pivotal - Moderated by Jim Zemlin, The Linux Foundation

#6

Keynote: Keeping the Elephant in the Room - Gary Richardson, KPMG UK

#7

Keynote: Creating a Market for Rapid Shared Innovation in Analytics - Mark Shuttleworth, Canonical

#8

Apache Spark - Making the Unthinkable Possible - Anjul Bhambhri, Vice President, Big Data, IBM Silicon Valley Lab

#9

Keynote: It Takes a Community to Build a Platform - Greg Chase, Pivotal

#10

Lunch

#11

Registration

#12

Lunch

#13

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

#14

Morning Break

#15

Morning Break

#16

BoFs: Next Generation Data Processing

#17

Onsite Attendee Reception & Technology Showcase Booth Crawl

#18

Morning Break

#19

Apache Kafka for High-Throughput Systems - Jane Wyngaard, Jet Propulsion Laboratory

#20

Lunch

#21

The Best of Apache Kafka Architecture - Ranganathan B, ThoughtWorks

#22

Being Ready for Apache Kafka: Today's Ecosystem and Future Roadmap - Michael Noll, Confluent

#23

Building a Highly-Scalable Open-Source Real-time Streaming Analytics System Using Spark SQL, Apache Geode (incubating), SpringXD and Apache Zeppelin (incubating) - Fred Melo, Pivotal

#24

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

#25

Apache Spark for High-Throughput Systems - Michael Starch, NASA Jet Propulsion Laboratory

#26

R as a Language For Big Data Analytics - Andrie de Vries, Microsoft

#27

Near Real Time Indexing Kafka Messages to Apache Blur using Spark Streaming - Dibyendu Bhattacharya, Pearson North America

#28

Budapest Big Data Meetup

#29

HBase: State of the Database - Nick Dimiduk, Hortonworks

#30

Data Science in the Travel Industry: Real-World Experience with Current Leading Frameworks - Paul Balm, Amadeus IT Group

#31

Data Science Lifecycle with Apache Zeppelin (incubating) - Moon soo Lee, NFLabs and Alexander Bezzubov

#32

Catch Them in the Act: Fraud Detection in Real-Time - Seshika Fernandom WS02

#33

Large-Scale Stream Processing in the Hadoop Ecosystem - Gyula Fóra, SICs and Márton Balassi, Hungarian Academy of Sciences

#34

Architecture of Flink's Streaming Runtime - Robert Metzger

#35

Shared Memory Layer for Spark Applications - Dmitriy Setrakyan, GridGain

#36

Apache Ignite: In-Memory Data Fabric in Action - Dmitriy Setrakyan, GridGain

#37

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

#38

Registration

#39

Registration

#40

Deploying Spark Streaming with Kafka: Gotchas and Performance Analysis - Nishkam Ravi, Cloudera

#41

One-Click Hadoop Clusters - Anywhere (Using Docker) - Janos Matyas, Hortonworks

#42

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

#43

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

#44

Drilling into Data with Apache Drill - Tugdual Grall, MapR Technologies

#45

How We Use Kappa Architecture in all of Our Projects - Juantomas Garcia, Aspgems

#46

Using Natural Language Processing on Non-Textual Data with MLLib - Casey Stella, Hortonworks

#47

Open-Source In-Memory Platforms - Konstantin Boudnik, WANdisco

#48

Closing Attendee Reception with ApacheCon: Core Attendees

#49

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

#50

Testing Big Data Pipelines Made Super Easy - Pallavi Rao, Inmobi & Pavan Kumar Kolamuri, Inmobi