This event has ended. View the official site or create your own event → Check it out

This event has ended. Create your own

Scala By the Bay

View analytic

11:00am

Developing functional domain models with event sourcing Track B

11:50am

Scala.js: confessions of a backend engineer Track B

1:30pm

Play Webapp Architecture, Shiny Objects, and a Modest Proposal Track B

2:20pm

An overview of Axle: a Scala-embedded DSL Track B

2:50pm

What JavaScript taught me about programming in Scala Track B

3:20pm

Actor-based multi-cloud orchestration and management using Apache Jclouds Track B

3:55pm

Legacy modernization from monolithic PHP to reactive SOA Track B

4:30pm

Towards Reliable Lookups Track B

5:20pm

An embedded DSL to manipulate Mathprog Mixed Integer Programming models within Scala Track B

10:20am

Functional Domain Modeling: Beyond Buzzword-Compliance Track B

11:00am

Get Productive with Scala Macros: Interactive live-coding session where we code a Scala macro library using Scala quasiquotes. Track B

11:50am

Powerful and elegant Scala one*-liners Track B

1:30pm

The Scala.js compilation pipeline Track B

2:20pm

Automatically deriving efficient data structures in Scala Track B

2:50pm

Evolving Your Code: More Functional Error Handling in Scala Track B

3:20pm

Lift-ng: Secure, rapid web development with Scala and AngularJS Track B

4:30pm

Automatic Concurrency through Computation Expressions Track B

11:00am

Un-collaborative filtering: Giving the right recommendations when your users aren’t helping you Track B

11:50am

Caution: The Code You are About to Enjoy is Extremely Hot! Developing Big Data Applications with Scalding Track B

1:30pm

Ask Craig - Building Smarter Applications Track B

2:20pm

Introducing Java/Hadoop Developers to Scala/Spark Track B

2:50pm

Enabling Enterprise Big Data Analytics with Scala at Alpine Track B

3:20pm

Why Apache Flink is the 4G of Big Data Analytics Frameworks? Track B

4:20pm

TSAR (the TimeSeries AggregatoR) - How to Count Tens of Billions of Daily Events in Real Time Using Open Source Technologies Track B

5:10pm

Quantifind's Story: Building Custom Interactive Data Analytics Infrastructure Track B

10:20am

Developing Spark SQL Integration for MongoDB using Spark's External Datasource API Track B

11:00am

Scalable Analytics of Machine Data Track B

11:20am

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

11:50am

An Introduction to NLP4L: Natural Language Processing Tool for Apache Lucene Track B

1:30pm

NLP with Scala at D2C Track B

2:20pm

Building a Health Data platform for the future Track B

2:50pm

Lambda architecture - a blueprint for building big data systems Track B

3:20pm

Map/Reduce as an Example of Programming with Categories Track B

4:20pm

Reactive Stream Processing with Kafka-rx Track B