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CE

Chad Ellison

ZE PowerGroup

10:40am

A Faster Way for Faster Workflows - Ken Krugler, Scale Unlimited Plaza C Streaming SQL with Apache Calcite - Julian Hyde, Hortonworks Plaza A

11:40am

Using the SDACK Architecture to Build a Big Data Product - Yu-Hsin Yeh, Trend Micro Plaza B

2:00pm

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

Introduction to Apache Kudu (Incubating) for Timeseries Storage - Dan Burkert, Cloudera Regency E

4:10pm

ODPi: Advancing Open Data for the Enterprise - A Panel Discussion Moderated by Roman Shaposhnik, Pivotal Inc. Plaza B

5:10pm

Speaking the Language of Big Data - With Apache Avro and Apache Thrift - Ranganathan Balashanmugam, ThoughtWorks Plaza A

9:00am

Apache Kafka at Rocana - Alan Gardner, Rocana Regency A Wikimedia Content API: A Cassandra Use-case - Eric Evans, Wikimedia Foundation Plaza B

10:00am

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

11:20am

Streaming Data Integration at Scale with Kafka - Ewen Cheslack-Postava, Confluent Regency A A Java Implementer’s Guide to Boosting Apache Spark Performance - Tim Ellison, IBM Georgia B

2:00pm

Zipkin & Apache Cassandra: A Big Data Tracing Case Study - Mick Semb Wever, The Last Pickle Plaza B

10:50am

Tailored for Spark - Petr Igrevski, eBay Plaza B

11:50am

Apache Zeppelin and It’s Pluggable Architecture for Your Data Science Environment - Moon Soo Lee, NFLabs Regency A

2:00pm

ODPi and ASF Collaboration: Ask Us Anything! - John Mertic, ODPi & Jim Jagielski, Apache Software Foundation Plaza B

3:00pm

Time Series Processing with Apache Spark - Josef Adersberger, QAware GmbH Plaza C

4:10pm

Data Science for the Datacenter: Analyzing Logs with Apache Spark - William Benton, Red Hat, Inc Plaza B