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Apache: Big Data 2016 has ended
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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