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Scala By the Bay

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8:00am PDT

Breakfast Foyer Outside Venue A Registration Foyer Outside Venue A

8:15am PDT

Coffee Sponsored by Typesafe Foyer Outside Venue A

8:45am PDT

Opening Remarks and Updates Track A

9:00am PDT

Keynote IV: New Developments in Spark Keynote

9:40am PDT

Keynote V BDS: Apache Kafka and the Rise of The Stream Data Platform Keynote

10:20am PDT

Interactive Spark in your Browser Track A Developing Spark SQL Integration for MongoDB using Spark's External Datasource API Track B

11:00am PDT

Scalable Analytics of Machine Data Track B Economical machine learning via functional programming Track A

11:20am PDT

Creating an index of all US Small and Medium Business with Scala and Spark Track B

11:50am PDT

A simple breakdown of the Java Memory Model, and how it applies to asynchronous, non-blocking, concurrent and parallel applications Track A An Introduction to NLP4L: Natural Language Processing Tool for Apache Lucene Track B

12:30pm PDT

Lunch sponsored by Cloudera Foyer Outside Venue A

1:30pm PDT

WOLFE: A Declarative Machine Learning Stack Track A NLP with Scala at D2C Track B

2:20pm PDT

DASE – A Design Pattern for Machine Learning with Scala, Spray and Spark Track A Building a Health Data platform for the future Track B

2:50pm PDT

Large volume data analysis on the Typesafe Reactive Platform Track A Lambda architecture - a blueprint for building big data systems Track B

3:20pm PDT

Scala data pipelines at Spotify Track A Map/Reduce as an Example of Programming with Categories Track B

4:20pm PDT

A Gentle Introduction to Apache Spark and Locality Sensitive Hashing Track A Reactive Stream Processing with Kafka-rx Track B

5:00pm PDT

Big Data Scala Closing Panel: SriSatish Ambati, Joel Horwitz, Nikita Ivanov, Nikita Shamgunov, Gwen Shapira Track A