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Paul Ekeland
SAP
Vancouver, Canada 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
10:10am PDT
Coffee Break
Regency Foyer
10:40am PDT
Streaming SQL with Apache Calcite - Julian Hyde, Hortonworks
Plaza A
11:40am PDT
We're Watching You: An Introduction to the Apache Unomi Project - Nikhil Patel, Jahia
Regency A
2:00pm PDT
SMACK Stack - Data Done Right - Stefan Siprell, codecentric AG
Georgia A
Standing on Shoulders of Giants: Ampool Story - Milind Bhandarkar, Ampool, Inc.
Georgia B
3:00pm PDT
Happier Developers and Happier Software Through Distributed Testing - Andrew Wang, Cloudera
Plaza C
Druid: Interactive Exploratory Analytics at Scale - Fangjin Yang, Imply
Georgia A
Netflix Keystone - How We Built a 700B/day Stream Processing Cloud Platform in a Year - Peter Bakas, Netflix
Georgia B
4:10pm PDT
Delivering Realtime and Agile Analytics Using Apache Kafka, Spark & Drill - Neeraja Rentachintala, MapR technologies
Plaza C
Next Gen Big Data Analytics with Apache Apex - Thomas Weise, DataTorrent
Georgia A
Data Science with News Headlines - Analyzing and Visualizing a Whole Decade - Christian Winkler & Stephanie Fischer, mgm Technology Partners GmbH
Georgia B
5:10pm PDT
Hands-on Apache NiFi - Oleg Zhurakousky, Hortonworks
Georgia A
Next-Gen Decision Making in Under 2ms - Ilya Ganelin, Capital One Data Innovation Lab
Plaza B
Tuesday
, May 10
9:00am PDT
Open Geospatial Standards and Open Source - George Percival, Open Geospatial Consortium (OGC)
Plaza A
Wikimedia Content API: A Cassandra Use-case - Eric Evans, Wikimedia Foundation
Plaza B
Enforcing Fine Grained Role Based Authorization in Multi-tenant Streaming Data Platforms - Ashish Singh, Cloudera
Regency E
Random Forest Clustering with Apache Spark - Erik Erlandson, Red Hat, Inc.
Plaza C
10:00am PDT
Breaking Spark: Top 5 Mistakes to Avoid When Using Apache Spark in Production - Neelesh Srinivas Salian, Cloudera
Georgia B
Protecting Enterprise Data in Hadoop - Owen O'Malley, Hortonworks
Regency E
Clickstream Analysis with Apache Spark - Andreas Zitzelsberger, QAware GmbH
Plaza C
11:20am PDT
Applying Geospatial Analytics Using Apache Spark Running on Apache Mesos - Adam Mollenkopf, Esri
Plaza A
Streaming Data Integration at Scale with Kafka - Ewen Cheslack-Postava, Confluent
Regency A
2:00pm PDT
Zipkin & Apache Cassandra: A Big Data Tracing Case Study - Mick Semb Wever, The Last Pickle
Plaza B
Using Apache Big Data Stack to Analyse Storm-Scale Numerical Weather Prediction Data - Suresh Marru, Indiana University
Georgia B
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
From Big Data to Mobile Data with Apache CouchDB and PouchDB - Bradley Holt, IBM Cloudant
Plaza B
Wednesday
, May 11
10:50am PDT
SystemML - Declarative Machine Learning - Luciano Resende, IBM
Georgia A
Apache Yetus - Helping Solve the Last Mile Problem - Allen Wittenauer, Altiscale
Regency A
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
Real-world Analytics with Solr Cloud and Spark - Johannes Weigend, QAware GmbH
Georgia A
4:10pm PDT
Graph Processing with Apache TinkerPop - Jason Plurad, IBM
Regency A
Data Science for the Datacenter: Analyzing Logs with Apache Spark - William Benton, Red Hat, Inc
Plaza B
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
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Apache: Big Data 2016
May 8
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12, 2016
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