Scala By the Bay has ended

Create Your Own Event

Scala By the Bay

11:00am PDT

Drinking the Free Kool-Aid Track A

11:50am PDT

Does your Scala Abide? Track A

1:30pm PDT

Batteries included - How Scala makes Data Centers more power efficient Track A

2:20pm PDT

Enterprise APIs With Ease Using Scala Track A

2:50pm PDT

Proactively Lazy: Enforcing Laziness with Types Track A

3:20pm PDT

A Tour of Functional Type Classes via Scodec and Simulacrum Track A

4:30pm PDT

Suffuse: usable virtual filesystems Track A

5:20pm PDT

How you convince your manager to adopt Scala.js in production: Take 1. Track A

10:20am PDT

Scraping Reddit with Akka Streams Track A

11:00am PDT

Scala: Power and Versatility Track A

11:50am PDT

Full stack Scala Track A

1:30pm PDT

Programs as Values: JDBC Programming with Doobie Track A

2:20pm PDT

Scalactic EquaSets: Sets with a Different Idea of Equality Track A

2:50pm PDT

CQRS/ES with Scala and Akka Persistence Track A

3:20pm PDT

A better Scala REPL? Track A

4:30pm PDT

Cats - A fresh look at Pure Functional Programming in scala Track A

11:00am PDT

Breakthrough OLAP performance on Cassandra and Spark Track A

11:50am PDT

The Live Layer and The Lambda Architecture Track A

1:30pm PDT

Scalding at Shazam Track A

2:20pm PDT

Managing Kafka, the easy way, with help from Play, Akka, and Curator Track A

2:50pm PDT

Building Highly Available & Scalable Search with Kafka, Spark Streaming, and Elastic Search Track A

3:20pm PDT

Title: Scala, FP and Spark - the Perfect Combo for Machine Learning Track A

4:20pm PDT

Writing your first Scala near Real-time Streaming application Using Spark Streaming and Running it on top of Mesos Track A

5:10pm PDT

Spark After Dark: Generating high-quality Dating Recommendations Track A

10:20am PDT

Interactive Spark in your Browser Track A

11:00am PDT

Economical machine learning via functional programming Track A

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

1:30pm PDT

WOLFE: A Declarative Machine Learning Stack Track A

2:20pm PDT

DASE – A Design Pattern for Machine Learning with Scala, Spray and Spark Track A

2:50pm PDT

Large volume data analysis on the Typesafe Reactive Platform Track A

3:20pm PDT

Scala data pipelines at Spotify Track A

4:20pm PDT

A Gentle Introduction to Apache Spark and Locality Sensitive Hashing Track A