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JL

Jeff Longland

University of British Columbia

10:40am PDT

Big Data DumbOps - Kevin Monroe, Canonical Georgia B 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 We're Watching You: An Introduction to the Apache Unomi Project - Nikhil Patel, Jahia Regency A 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

Introduction to Apache Kudu (Incubating) for Timeseries Storage - Dan Burkert, Cloudera Regency E Netflix Keystone - How We Built a 700B/day Stream Processing Cloud Platform in a Year - Peter Bakas, Netflix Georgia B

4:10pm PDT

Everyone Plays: Collaborative Data Science with Zeppelin - Trevor Grant, Market6 Regency E

5:10pm PDT

Building a Durable Real-Time Data Pipeline: Apache BookKeeper at Twitter - Sijie Guo & Leigh Stewart, Twitter Georgia B Speaking the Language of Big Data - With Apache Avro and Apache Thrift - Ranganathan Balashanmugam, ThoughtWorks Plaza A

9:00am PDT

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 Enforcing Fine Grained Role Based Authorization in Multi-tenant Streaming Data Platforms - Ashish Singh, Cloudera Regency E

10:00am PDT

Apache BigTop Hadoop Dev Test Benchmark on Your Favorite Cloud or Laptop - Antonio Rosales, Canonical & Konstantin Boudnik, Memcore Plaza A Kafka at Peak Performance - Todd Palino, Linkedin Regency A Clickstream Analysis with Apache Spark - Andreas Zitzelsberger, QAware GmbH Plaza C Apache Hive 2.0 SQL Speed Scale - Alan Gates, Hortonworks Georgia A

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 Building a Self-serve Kafka Ecosystem - Joel Koshy, LinkedIn Regency A

3:00pm PDT

Using Kafka and Kudu for Fast, Low-latency SQL Analytics on Streaming Data - Mike Percy & Ashish Singh, Cloudera Georgia A

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

2:00pm PDT

Spatial Data Based People/Vhicles Trails Analysis to Support Precision Urban Planning - Yonghua Zeng, IBM Plaza A Combining Machine Learning Frameworks with Apache Spark - Tim Hunter, Databricks, Inc. Georgia A

3:00pm PDT

Monitoring in a Distributed World - Felix Massem, codecentric AG Georgia B Apache S2Graph: A Large Scale Distributed Graph Database - Doyung Yoon & Hyunsung Jo, Kakao Regency A Time Series Processing with Apache Spark - Josef Adersberger, QAware GmbH Plaza C

4:10pm PDT

Graph Processing with Apache TinkerPop - Jason Plurad, IBM Regency A 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