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Apache: Big Data 2016

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Tri Truong

Netflix
Data engineer
San Francisco Bay Area

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

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

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