Hadoop Innovation Summit

February 19 & 20, San Diego, 2014

The Schedule

*Please note, this is subject to change

The Hadoop Innovation Summit features two days of engaging content from the most hands-on engineers & architects working with Hadoop. Check back regularly on the evolving and growing schedule here.

  • General Session

Day 1

General Session

07:30

Pre-Summit Registration & Light Breakfast - Exhibition Area

08:25

Chairperson Overview

08:30

Doing Awesome Things in Online Display Advertising Using Hadoop at AOL: Success Stories, Lessons Learned, and a Wish List

Jaimie Kwon — Director, Data Mining at AOL

09:05

Cloud Native Hadoop at Netflix

Kurt Brown — Director, Data Platform at Netflix

09:40

Optimizing Hardware Whilst Maintaining Business Agility with YARN

Sagi Zelnick — Principal Architect at Yahoo!

10:15

Coffee Break - Exhibition Area

10:45

Hadoop Adventures At Spotify

Adam Kawa — Data Engineer at Spotify

11:20

In-Memory Computing: Facts & Myths

Nikita Ivanov — CTO at GridGain

11:55

Parquet: Open Columnar Storage for Hadoop

Julien Le Dem — Engineer, Data Systems at Twitter

12:30

Lunch

13:30

Hive Resource Optimization at Facebook

Huajing Li — Engineering Manager at Facebook

14:05

A Recipe for Recommendation - Scalable Personalization with Hadoop & Hbase for Everyone

John Carnahan — EVP, Data Science at Live Nation

14:40

Intelligent Data Platform at Samsung

Guangdeng Liao — Sr. Research Engineer at Samsung

15:15

Coffee Break - Exhibition Area

15:45

The Future of Hadoop: Choosing The Right Options

Subash D'Souza — Sr. Specialist Engineer at Shopzilla

16:20

Introducing Hadoop to Hospitals, Opportunities and Challenges

Mohamed Elmallah — Manager, Architecture at Children's Hospital LA

16:55

Networking Drinks - Exhibition Area

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  • General Session

Day 2

General Session

07:30

Registration & Light Breakfast - Exhibition Area

08:25

Chairperson Overview

08:30

Democratizing Hadoop

Karthik Ramasamy — Staff Data Scientist at LinkedIn

09:05

Paypal Data Science Platform - A Platform for Data Science & Machine Learning

Vamshi Ambati — Data Scientist at PayPal

09:40

Integrated Hadoop Management – Tying it All Together!

Zachary Snyder — Engineer, Data Platforms at Disney

10:15

Coffee Break - Exhibition Area

10:45

Dealing with Personal & Encrypted Data in Hadoop

Abhay Kumar — Engineering Lead at Square

11:20

Ensuring Hadoop Production Success.

Anoop Dawar — Sr. Director, Product at MapR Technologies

11:55

Efficient Machine Learning Algorithms in Hadoop

Iwona Bialynicka-Birula — Sr. Manager, Software at eBay

12:30

Lunch

13:30

Data Science Using Hadoop

Todd Holloway — Data Science Lead at Trulia

14:05

Scaling Data Driven Organizations: Lessons Learned in Four Years of Growing Twitter Analytics

Dmitriy Ryaboy — Engineering Manager at Twitter

14:40

Leveraging Machine Learning Open Source Tools on Hadoop

Mingzhu Lu — Sr. Data Scientist at GE Capital

15:15

Enabling Data Science With Hadoop

Sampath Kumar — Director, Architecture at Autotrader.com

15:50

Departure Coffee - Exhibition Area

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