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GP
Gregory Petroski
eHarmony
Sunday
, May 8
5:00pm PDT
Registration
Georgia Foyer
Monday
, May 9
7:30am PDT
Registration
Georgia Foyer
9:00am PDT
Welcome & Opening Remarks - Rich Bowen, Executive Vice President, Apache Software Foundation
Regency CD
9:05am PDT
Keynote: How Netflix Leverages Big Data - Brian Sullivan, Director of Streaming Analytics, Netflix
Regency CD
9:30am PDT
Keynote: How Enterprises are Leveraging Open Source Analytics Platforms for Making Game Changing Decisions - Luciano Resende, Architect, Spark Technology Center, IBM
Regency CD
9:50am PDT
Keynote: It Takes a Village: Making Data Projects Work - Amy Gaskins, Big Data Project Director
Regency CD
10:10am PDT
Coffee Break
Regency Foyer
10:40am PDT
A Faster Way for Faster Workflows - Ken Krugler, Scale Unlimited
Plaza C
Apache Hadoop 3 Current Status - Akira Ajisaka, NTT DATA
Regency B
11:40am PDT
Migrating Hundreds of Hadoop Pipelines into Docker Containers - Noa Resare, Spotify
Plaza C
2:00pm PDT
Will It Scale? The Secrets Behind Scaling Stream-processing Applications - Navina Ramesh, LinkedIn
Plaza A
3:00pm PDT
Netflix Keystone - How We Built a 700B/day Stream Processing Cloud Platform in a Year - Peter Bakas, Netflix
Georgia B
Tuesday
, May 10
9:00am PDT
Random Forest Clustering with Apache Spark - Erik Erlandson, Red Hat, Inc.
Plaza C
10:00am PDT
Apache Hive 2.0 SQL Speed Scale - Alan Gates, Hortonworks
Georgia A
11:20am PDT
A Java Implementer’s Guide to Boosting Apache Spark Performance - Tim Ellison, IBM
Georgia B
3:00pm PDT
Hadoop Object Store - Ozone - Anu Engineer & Arpit Agarwal, Hortonworks
Regency B
Wednesday
, May 11
10:50am PDT
Spark After Dark 2.0: Complete End-to-End, Real-time Advanced Analytics, Big Data Reference Pipeline Including Machine Learning, Graph Processing, and Text/NLP Analytics, and Streaming Approximations Using Kafka...
Plaza C
11:50am PDT
Introducing Datasets: Bringing Compile Time Type Checking and Functional Transformations to Spark DataFrames - Holden Karau, IBM
Plaza C
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Apache: Big Data 2016
America/Los Angeles
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Apache: Big Data 2016
May 8
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12, 2016
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