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MK
Mitko Kolev
SAP
Monday
, May 9
9:05am
Keynote: How Netflix Leverages Big Data - Brian Sullivan, Director of Streaming Analytics, Netflix
Regency CD
9:30am
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
Keynote: It Takes a Village: Making Data Projects Work - Amy Gaskins, Big Data Project Director
Regency CD
10:40am
Building Distributed Systems Using Apache Helix - Aditya Auradkar, LinkedIn
Regency A
How ODPi Leveraged Apache Bigtop to Get to Market Faster (and You Can Too!) - Roman Shaposhnik & Konstantin Boudnik, Pivotal Inc.
Plaza B
Streaming SQL with Apache Calcite - Julian Hyde, Hortonworks
Plaza A
11:40am
SAMOA: A Platform for Mining Big Data Streams - Nicolas Kourtellis, Telefonica
Plaza A
2:00pm
Will It Scale? The Secrets Behind Scaling Stream-processing Applications - Navina Ramesh, LinkedIn
Plaza A
3:00pm
Managing Enterprise Hadoop Clusters with Apache Ambari - Jayush Luniya, Hortonworks
Regency A
Netflix Keystone - How We Built a 700B/day Stream Processing Cloud Platform in a Year - Peter Bakas, Netflix
Georgia B
4:10pm
Delivering Realtime and Agile Analytics Using Apache Kafka, Spark & Drill - Neeraja Rentachintala, MapR technologies
Plaza C
5:10pm
Large Scale SolrCloud Cluster Management via APIs - Anshum Gupta, IBM Watson
Regency A
Building a Durable Real-Time Data Pipeline: Apache BookKeeper at Twitter - Sijie Guo & Leigh Stewart, Twitter
Georgia B
Tuesday
, May 10
9:00am
Wikimedia Content API: A Cassandra Use-case - Eric Evans, Wikimedia Foundation
Plaza B
Cancer Outlier Profile Analysis Using Spark - Mahmoud Parsian, Illumina, Inc.
Georgia B
Random Forest Clustering with Apache Spark - Erik Erlandson, Red Hat, Inc.
Plaza C
10:00am
Breaking Spark: Top 5 Mistakes to Avoid When Using Apache Spark in Production - Neelesh Srinivas Salian, Cloudera
Georgia B
Clickstream Analysis with Apache Spark - Andreas Zitzelsberger, QAware GmbH
Plaza C
11:20am
HDFS and Private Cloud - Janet George, SanDisk
Regency B
Get the Best Out of Hive and Spark - Xuefu Zhang, Uber
Georgia A
2:00pm
SciSpark: MapReduce in Atmospheric Sciences - Kim Whitehall, NASA Jet Propulsion Laboratory
Plaza A
3:00pm
Real Time BOM Explosions with Apache Solr and Spark - Andreas Zitzelsberger, QAware GmbH
Plaza C
4:30pm
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
Keynote: A Look Ahead at Spark 2.0 - Ion Stoica, Co-founder & Executive Chairman, Databricks
Regency CD
5:10pm
Lightning Talks aka Big Data Shark Tank
Regency CD
Wednesday
, May 11
10:50am
Tailored for Spark - Petr Igrevski, eBay
Plaza B
11:50am
Introducing Datasets: Bringing Compile Time Type Checking and Functional Transformations to Spark DataFrames - Holden Karau, IBM
Plaza C
2:00pm
Combining Machine Learning Frameworks with Apache Spark - Tim Hunter, Databricks, Inc.
Georgia A
3:00pm
Monitoring in a Distributed World - Felix Massem, codecentric AG
Georgia B
4:10pm
Data Science for the Datacenter: Analyzing Logs with Apache Spark - William Benton, Red Hat, Inc
Plaza B
6:30pm
Evening Event at Steamworks Brewing Company
Steamworks Brewing Company
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Apache: Big Data 2016
May 8
-
12, 2016
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, May 8
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, May 9
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, May 10
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, May 11
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, May 12
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Intermediate
Kafka
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Intermediate
Keynote
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Intermediate
Managing Distributed Systems
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Intermediate
Math & Standards
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Intermediate
Monitoring-Benchmarking
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NoSQL
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Intermediate
Operations-Use Cases
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Spark
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State-Future of $foo
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