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MT
Mike Tsumura
SAP
Monday
, May 9
10:40am PDT
Seven Habits of a Highly Effective Big Data Programmer - Rekha Joshi, Intuit Inc
Georgia A
11:40am PDT
Migrating Hundreds of Hadoop Pipelines into Docker Containers - Noa Resare, Spotify
Plaza C
Recent Development in HBase - Zhihong Yu, Hortonworks
Regency B
2:00pm PDT
SMACK Stack - Data Done Right - Stefan Siprell, codecentric AG
Georgia A
Will It Scale? The Secrets Behind Scaling Stream-processing Applications - Navina Ramesh, LinkedIn
Plaza A
3:00pm PDT
Happier Developers and Happier Software Through Distributed Testing - Andrew Wang, Cloudera
Plaza C
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
5:10pm PDT
Speaking the Language of Big Data - With Apache Avro and Apache Thrift - Ranganathan Balashanmugam, ThoughtWorks
Plaza A
Tuesday
, May 10
9:00am PDT
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
11:20am PDT
Get the Best Out of Hive and Spark - Xuefu Zhang, Uber
Georgia A
3:00pm PDT
Hadoop Object Store - Ozone - Anu Engineer & Arpit Agarwal, Hortonworks
Regency B
Wednesday
, May 11
10:50am PDT
Tailored for Spark - Petr Igrevski, eBay
Plaza B
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
Apache Zeppelin and It’s Pluggable Architecture for Your Data Science Environment - Moon Soo Lee, NFLabs
Regency A
Introducing Datasets: Bringing Compile Time Type Checking and Functional Transformations to Spark DataFrames - Holden Karau, IBM
Plaza C
2:00pm PDT
Combining Machine Learning Frameworks with Apache Spark - Tim Hunter, Databricks, Inc.
Georgia A
Shared Memory Layer for Spark Applications - Dmitry Setrakyan, GridGain
Plaza C
4:10pm PDT
Apache HBase: Overview and Use Cases - Sean Busbey, Cloudera Inc
Plaza 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
America/Los Angeles
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Apache: Big Data 2016
May 8
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12, 2016
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