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RB
Ryan Bergstrom
EA
Monday
, May 9
9:05am PDT
Keynote: How Netflix Leverages Big Data - Brian Sullivan, Director of Streaming Analytics, Netflix
Regency CD
10:40am PDT
Building Distributed Systems Using Apache Helix - Aditya Auradkar, LinkedIn
Regency A
11:40am PDT
Using the SDACK Architecture to Build a Big Data Product - Yu-Hsin Yeh, Trend Micro
Plaza B
2:00pm PDT
SMACK Stack - Data Done Right - Stefan Siprell, codecentric AG
Georgia A
3:00pm PDT
Netflix Keystone - How We Built a 700B/day Stream Processing Cloud Platform in a Year - Peter Bakas, Netflix
Georgia B
4:10pm PDT
On the Bleeding Edge - Cassandra 3.4 and Beyond - Jonathan Haddad, Datastax
Regency B
5:10pm PDT
Building a Durable Real-Time Data Pipeline: Apache BookKeeper at Twitter - Sijie Guo & Leigh Stewart, Twitter
Georgia B
Tuesday
, May 10
9:00am PDT
Apache Kafka at Rocana - Alan Gardner, Rocana
Regency A
10:00am PDT
SASI - A Revolution for Secondary Indexes in Cassandra - Hanneli Tavante, Codeminer 42
Plaza B
11:20am PDT
A Java Implementer’s Guide to Boosting Apache Spark Performance - Tim Ellison, IBM
Georgia B
2:00pm PDT
Zipkin & Apache Cassandra: A Big Data Tracing Case Study - Mick Semb Wever, The Last Pickle
Plaza B
3:00pm PDT
Apache Flume or Apache Kafka? How About Both? - Jayesh Thakrar, Conversant
Regency A
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
Experiences Using Apache HTrace (Incubating) in Distributed Web Search - Lewis McGibbney, NASA JPL
Georgia B
2:00pm PDT
Shared Memory Layer for Spark Applications - Dmitry Setrakyan, GridGain
Plaza C
3:00pm PDT
Scylla: A Revolutionary Design for NoSQL Performs at 1.8M TPS/node - Don Marti & Tzach Livyatan, ScyllaDB
Plaza B
4:10pm PDT
Secure Spark Shuffle: A Fast and Convenient Approach Using Chimera - Cheng Xu, Intel
Plaza C
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Apache: Big Data 2016
America/Los Angeles
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Apache: Big Data 2016
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