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Navina Ramesh

LinkedIn

Navina Ramesh started her career in Yahoo! India, where she contributed on scaling the Yahoo! Search clusters for 3 years. At LinkedIn, she has worked on developing the Feed Personalization pipeline and improved the caching and pagination models in the Feed Infrastructure. She has also initiated and led the effort to provide real-time improvements to Feed Relevance. Starting late-2014, she quickly became an experienced Samza developer at LinkedIn. She is, currently, a Committer and a PMC member in Apache Samza.

7:30am PDT

Breakfast Regency Foyer Registration Georgia Foyer

8:00am PDT

Technology Showcase Regency 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

10:40am PDT

Building Distributed Systems Using Apache Helix - Aditya Auradkar, LinkedIn Regency A

11:40am PDT

SAMOA: A Platform for Mining Big Data Streams - Nicolas Kourtellis, Telefonica Plaza A

2:00pm PDT

Apache Bigtop: Overview and 2016 Community Update - Nate DAmico, Reactor 8 & Konstantin Boudnik, Memcore Regency B

3:00pm PDT

Happier Developers and Happier Software Through Distributed Testing - Andrew Wang, Cloudera Plaza C

4:10pm PDT

YARN: A Resource Manager for Analytic Platform - Tsuyoshi Ozawa, NTT Regency A

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

7:30am PDT

Breakfast Regency Foyer

8:00am PDT

Technology Showcase Regency Foyer

9:00am PDT

Shared or Distributed HDFS - What’s Right for Me? - Janet George, SanDisk Regency B

10:00am PDT

Clickstream Analysis with Apache Spark - Andreas Zitzelsberger, QAware GmbH Plaza C

11:20am PDT

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

3:00pm PDT

Apache Flume or Apache Kafka? How About Both? - Jayesh Thakrar, Conversant Regency A

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

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

9:30am PDT

BarCampApache Seymour

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

2:00pm PDT

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

3:00pm PDT

Time Series Processing with Apache Spark - Josef Adersberger, QAware GmbH Plaza C

5:10pm PDT

Less Is More: Doubling Storage Efficiency with HDFS Erasure Coding - Zhe Zhang, LinkedIn & Kai Zheng, Intel Georgia B