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SP
Sunil Palepu
Netflix
Monday
, May 9
10:40am PDT
The Evolution of Apache Kylin: Realtime and Plugin Architecture in Kylin2 - Luke Han, Apache Kylin
Regency E
Streaming SQL with Apache Calcite - Julian Hyde, Hortonworks
Plaza A
11:40am PDT
Migrating Hundreds of Hadoop Pipelines into Docker Containers - Noa Resare, Spotify
Plaza C
Using the SDACK Architecture to Build a Big Data Product - Yu-Hsin Yeh, Trend Micro
Plaza B
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
Netflix Keystone - How We Built a 700B/day Stream Processing Cloud Platform in a Year - Peter Bakas, Netflix
Georgia B
4:10pm PDT
YARN: A Resource Manager for Analytic Platform - Tsuyoshi Ozawa, NTT
Regency A
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
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
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 PDT
Streaming Data Integration at Scale with Kafka - Ewen Cheslack-Postava, Confluent
Regency A
Get the Best Out of Hive and Spark - Xuefu Zhang, Uber
Georgia A
2:00pm PDT
SciSpark: MapReduce in Atmospheric Sciences - Kim Whitehall, NASA Jet Propulsion Laboratory
Plaza A
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
Using Kafka and Kudu for Fast, Low-latency SQL Analytics on Streaming Data - Mike Percy & Ashish Singh, Cloudera
Georgia A
Wednesday
, May 11
3:00pm PDT
Crowd Learning for Indoor Positioning - Thomas Burgess, indoo.rs GmbH
Plaza A
Real-world Analytics with Solr Cloud and Spark - Johannes Weigend, QAware GmbH
Georgia A
4:10pm PDT
Apache HBase: Overview and Use Cases - Sean Busbey, Cloudera Inc
Plaza A
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Apache: Big Data 2016
America/Los Angeles
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Apache: Big Data 2016
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12, 2016
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