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Sterling Hoeree
Demonware
Data Warehouse Developer
Vancouver, Canada Area
AWS, Hadoop, Spark, Hive, Scala, Java, Python... AI/Machine Learning, ElasticSearch, the list goes on!
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
9:50am 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
Seven Habits of a Highly Effective Big Data Programmer - Rekha Joshi, Intuit Inc
Georgia A
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
12:30pm PDT
Lunch (Attendees on Own)
TBA
2:00pm PDT
SMACK Stack - Data Done Right - Stefan Siprell, codecentric AG
Georgia A
Will It Scale? The Secrets Behind Scaling Stream-processing Applications - Navina Ramesh, LinkedIn
Plaza A
3:00pm PDT
Happier Developers and Happier Software Through Distributed Testing - Andrew Wang, Cloudera
Plaza C
Managing Enterprise Hadoop Clusters with Apache Ambari - Jayush Luniya, Hortonworks
Regency A
Netflix Keystone - How We Built a 700B/day Stream Processing Cloud Platform in a Year - Peter Bakas, Netflix
Georgia B
Generating Many Resources from One Set of Schemas with Apache Streams - Steve Blackmon, People Pattern
Plaza A
3:50pm PDT
Coffee Break
Regency Foyer
4:10pm PDT
Delivering Realtime and Agile Analytics Using Apache Kafka, Spark & Drill - Neeraja Rentachintala, MapR technologies
Plaza C
Everyone Plays: Collaborative Data Science with Zeppelin - Trevor Grant, Market6
Regency E
5:10pm PDT
Speaking the Language of Big Data - With Apache Avro and Apache Thrift - Ranganathan Balashanmugam, ThoughtWorks
Plaza A
6:00pm PDT
Onsite Attendee Reception & Technology Showcase
Regency Foyer
Tuesday
, May 10
8:00am PDT
Registration
Georgia Foyer
9:00am PDT
SQL on Hadoop/Big Data - Architecture, Technology and Roadmap - Sumit Pal, Big Data Consultant
Georgia A
10:00am PDT
Kafka at Peak Performance - Todd Palino, Linkedin
Regency A
Apache Hive 2.0 SQL Speed Scale - Alan Gates, Hortonworks
Georgia A
10:50am PDT
Coffee Break
Regency Foyer
11:20am PDT
Streaming Data Integration at Scale with Kafka - Ewen Cheslack-Postava, Confluent
Regency A
A Java Implementer’s Guide to Boosting Apache Spark Performance - Tim Ellison, IBM
Georgia B
Get the Best Out of Hive and Spark - Xuefu Zhang, Uber
Georgia A
12:10pm PDT
Lunch (Attendees on Own)
TBA
2:00pm PDT
Leveraging YCSB for Your Project - Sean Busbey, Cloudera
Regency B
Hive on ACID - Alan Gates, Hortonworks
Georgia A
3:00pm PDT
Apache Flume or Apache Kafka? How About Both? - Jayesh Thakrar, Conversant
Regency A
Using Kafka and Kudu for Fast, Low-latency SQL Analytics on Streaming Data - Mike Percy & Ashish Singh, Cloudera
Georgia A
3:50pm PDT
Coffee Break
Regency Foyer
4:15pm PDT
Keynote: ODPi 101: Who We Are, What We Do and Don't Do - Alan Gates, Co-founder, Hortonworks
Regency CD
4:30pm PDT
Keynote: More Fun, Less Friction: How Open Source Operations Will Take Big Data to the Next Level - Mark Shuttleworth, Founder, Canonical
Regency CD
4:45pm PDT
Keynote: A Look Ahead at Spark 2.0 - Ion Stoica, Co-founder & Executive Chairman, Databricks
Regency CD
5:10pm PDT
Lightning Talks aka Big Data Shark Tank
Regency CD
Wednesday
, May 11
8:00am PDT
Registration
Georgia Foyer
9:00am PDT
Keynote: Apache Hadoop at 10 - Doug Cutting, Chief Architect, Cloudera
Regency CD
9:25am PDT
Keynote: Role of Apache in Transforming eBay’s Data Platform - Seshu Adunuthula, Sr. Director of Analytics Infrastructure, eBay
Regency CD
9:50am PDT
Keynote: Making Data Accessible - Ashish Thusoo, Co-founder & CEO, Qubole
Regency CD
10:25am PDT
Coffee Break
Regency Foyer
10:50am PDT
Apache Yetus - Helping Solve the Last Mile Problem - Allen Wittenauer, Altiscale
Regency A
Tailored for Spark - Petr Igrevski, eBay
Plaza B
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
Apache Zeppelin and It’s Pluggable Architecture for Your Data Science Environment - Moon Soo Lee, NFLabs
Regency A
Introducing Datasets: Bringing Compile Time Type Checking and Functional Transformations to Spark DataFrames - Holden Karau, IBM
Plaza C
12:40pm PDT
Lunch
Regency Foyer
2:00pm PDT
Apache REEF - Stdlib for Big Data - Sergiy Matusevych, Microsoft
Regency A
Shared Memory Layer for Spark Applications - Dmitry Setrakyan, GridGain
Plaza C
3:00pm PDT
Monitoring in a Distributed World - Felix Massem, codecentric AG
Georgia B
Time Series Processing with Apache Spark - Josef Adersberger, QAware GmbH
Plaza C
3:50pm PDT
Coffee Break
Regency Foyer
4:10pm PDT
Distributed Machine Learning with Apache Mahout - Suneel Marthi, Red Hat
Georgia A
Data Science for the Datacenter: Analyzing Logs with Apache Spark - William Benton, Red Hat, Inc
Plaza B
5:10pm PDT
Less Is More: Doubling Storage Efficiency with HDFS Erasure Coding - Zhe Zhang, LinkedIn & Kai Zheng, Intel
Georgia B
The Many Faces of Apache Ignite - David Robinson, IBM
Regency A
6:30pm PDT
Evening Event at Steamworks Brewing Company
Steamworks Brewing Company
Thursday
, May 12
8:00am PDT
Registration
Georgia Foyer
9:00am PDT
Interactive Data Science from Scratch with Apache Zeppelin and Apache Spark - Felix Cheung (Additional Fee)
Lord Byron
12:00pm PDT
Coffee Break
Regency Foyer
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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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