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Tri Truong
Netflix
Data engineer
San Francisco Bay Area
Monday
, May 9
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
10:40am PDT
The Evolution of Apache Kylin: Realtime and Plugin Architecture in Kylin2 - Luke Han, Apache Kylin
Regency E
11:40am PDT
SAMOA: A Platform for Mining Big Data Streams - Nicolas Kourtellis, Telefonica
Plaza A
2:00pm PDT
Will It Scale? The Secrets Behind Scaling Stream-processing Applications - Navina Ramesh, LinkedIn
Plaza A
3:00pm PDT
Druid: Interactive Exploratory Analytics at Scale - Fangjin Yang, Imply
Georgia A
4:10pm PDT
On the Bleeding Edge - Cassandra 3.4 and Beyond - Jonathan Haddad, Datastax
Regency B
5:10pm PDT
Next-Gen Decision Making in Under 2ms - Ilya Ganelin, Capital One Data Innovation Lab
Plaza B
Tuesday
, May 10
9:00am PDT
Cancer Outlier Profile Analysis Using Spark - Mahmoud Parsian, Illumina, Inc.
Georgia B
10:00am PDT
Breaking Spark: Top 5 Mistakes to Avoid When Using Apache Spark in Production - Neelesh Srinivas Salian, Cloudera
Georgia B
11:20am PDT
Get the Best Out of Hive and Spark - Xuefu Zhang, Uber
Georgia A
2:00pm PDT
On the Fly Retraining of Predictive Analytical Models Using Spark Streaming: An Equity-price Direction Prediction Case Study - Tijl Carpels, Ghent University
Plaza C
3:00pm PDT
Real Time BOM Explosions with Apache Solr and Spark - Andreas Zitzelsberger, QAware GmbH
Plaza C
Wednesday
, May 11
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
10:50am PDT
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
Introducing Datasets: Bringing Compile Time Type Checking and Functional Transformations to Spark DataFrames - Holden Karau, IBM
Plaza C
2:00pm PDT
Spatial Data Based People/Vhicles Trails Analysis to Support Precision Urban Planning - Yonghua Zeng, IBM
Plaza A
3:00pm PDT
Crowd Learning for Indoor Positioning - Thomas Burgess, indoo.rs GmbH
Plaza A
4:10pm PDT
Graph Processing with Apache TinkerPop - Jason Plurad, IBM
Regency A
5:10pm PDT
Mining Public Datasets Using Apache Zeppelin (incubating) and Spark - Alexander Bezzubov, NFLabs
Plaza C
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Apache: Big Data 2016
America/Los Angeles
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