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Apache: Big Data 2016

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Mitko Kolev

SAP

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

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

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