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Apache: Big Data 2016

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Leigh Stewart

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San Francisco Bay Area

2:00pm PDT

Will It Scale? The Secrets Behind Scaling Stream-processing Applications - Navina Ramesh, LinkedIn Plaza A

3:00pm PDT

Introduction to Apache Kudu (Incubating) for Timeseries Storage - Dan Burkert, Cloudera Regency E 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

6:00pm PDT

Onsite Attendee Reception & Technology Showcase Regency Foyer

9:00am PDT

Apache Kafka at Rocana - Alan Gardner, Rocana Regency A Enforcing Fine Grained Role Based Authorization in Multi-tenant Streaming Data Platforms - Ashish Singh, Cloudera Regency E

10:00am PDT

Kafka at Peak Performance - Todd Palino, Linkedin Regency A

11:20am PDT

Streaming Data Integration at Scale with Kafka - Ewen Cheslack-Postava, Confluent Regency A

2:00pm PDT

Building a Self-serve Kafka Ecosystem - Joel Koshy, LinkedIn Regency A

3:00pm PDT

Hadoop Object Store - Ozone - Anu Engineer & Arpit Agarwal, Hortonworks Regency B

5:10pm PDT

Lightning Talks aka Big Data Shark Tank Regency CD

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

2:00pm PDT

HiBench - The Benchmark Suite for Hadoop, Spark and Streaming - Carson Wang, Intel Georgia B