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MS

Michal Stit

Global Relay
Monday, May 9
 

10:40am PDT

Apache Hadoop 3 Current Status - Akira Ajisaka, NTT DATA Regency B

11:40am PDT

Building Large Scale Applications in Apache Hadoop YARN with Apache Twill - Henry Saputra & Terence Yim, Apache Software Foundation Georgia A

2:00pm PDT

Will It Scale? The Secrets Behind Scaling Stream-processing Applications - Navina Ramesh, LinkedIn Plaza A

3:00pm PDT

Netflix Keystone - How We Built a 700B/day Stream Processing Cloud Platform in a Year - Peter Bakas, Netflix Georgia B

4:10pm PDT

On the Bleeding Edge - Cassandra 3.4 and Beyond - Jonathan Haddad, Datastax Regency B

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

Shared or Distributed HDFS - What’s Right for Me? - Janet George, SanDisk Regency B

10:00am PDT

Kafka at Peak Performance - Todd Palino, Linkedin Regency A

11:20am PDT

Cassandra Multi-datacenter Operations Essentials - Julien Anguenot, iland Internet Solutions, Corp Plaza B

2:00pm PDT

Apache Kerby for Big Data Security - Kai Zheng, Intel Regency E

3:00pm PDT

Apache Flume or Apache Kafka? How About Both? - Jayesh Thakrar, Conversant Regency A
 
Wednesday, May 11
 

10:50am PDT

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

2:00pm PDT

Shared Memory Layer for Spark Applications - Dmitry Setrakyan, GridGain Plaza C

3:00pm PDT

Monitoring in a Distributed World - Felix Massem, codecentric AG Georgia B

4:10pm PDT

Apache HBase: Overview and Use Cases - Sean Busbey, Cloudera Inc Plaza A

5:10pm PDT

Less Is More: Doubling Storage Efficiency with HDFS Erasure Coding - Zhe Zhang, LinkedIn & Kai Zheng, Intel Georgia B