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David Mikulec
EA
Monday
, May 9
10:40am PDT
Building Distributed Systems Using Apache Helix - Aditya Auradkar, LinkedIn
Regency A
11:40am PDT
Migrating Hundreds of Hadoop Pipelines into Docker Containers - Noa Resare, Spotify
Plaza C
2:00pm PDT
Will It Scale? The Secrets Behind Scaling Stream-processing Applications - Navina Ramesh, LinkedIn
Plaza A
3:00pm PDT
Introduction to Apache Kudu (Incubating) for Timeseries Storage - Dan Burkert, Cloudera
Regency E
4:10pm PDT
Designing Workflows with OODT - Tom Barber, Meteroite Consulting
Plaza A
5:10pm PDT
Building a Durable Real-Time Data Pipeline: Apache BookKeeper at Twitter - Sijie Guo & Leigh Stewart, Twitter
Georgia B
Tuesday
, May 10
9:00am PDT
Random Forest Clustering with Apache Spark - Erik Erlandson, Red Hat, Inc.
Plaza C
10:00am PDT
Kafka at Peak Performance - Todd Palino, Linkedin
Regency A
11:20am PDT
Applying Geospatial Analytics Using Apache Spark Running on Apache Mesos - Adam Mollenkopf, Esri
Plaza A
2:00pm PDT
Hive on ACID - Alan Gates, Hortonworks
Georgia A
3:00pm PDT
Apache Flume or Apache Kafka? How About Both? - Jayesh Thakrar, Conversant
Regency A
Wednesday
, May 11
10:50am PDT
Apache Yetus - Helping Solve the Last Mile Problem - Allen Wittenauer, Altiscale
Regency A
11:50am PDT
Apache Zeppelin and It’s Pluggable Architecture for Your Data Science Environment - Moon Soo Lee, NFLabs
Regency A
2:00pm PDT
Apache REEF - Stdlib for Big Data - Sergiy Matusevych, Microsoft
Regency A
3:00pm PDT
Monitoring in a Distributed World - Felix Massem, codecentric AG
Georgia B
4:10pm PDT
Data Science for the Datacenter: Analyzing Logs with Apache Spark - William Benton, Red Hat, Inc
Plaza B
5:10pm PDT
Data Management at Scale - Tom Barber, Meteroite Consulting
Plaza B
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Apache: Big Data 2016
America/Los Angeles
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Apache: Big Data 2016
May 8
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12, 2016
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