Scala Days New York 2016

2016

Videos

1 — Spark 2.0 - by Matei Zaharia
2 — Nightmare Before Best Practices - by José Castro
3 — Monitoring Reactive Applications - by Duncan DeVore & Henrik Engström
4 — Keynote: Scala's Road Ahead - by Martin Odersky
5 — Perfect Scalability - by Michael Nash
6 — Finagle Under the Hood - by Vladimir Kostyukov
7 — Data in Motion: Streaming Static Data Efficiently in Akka Persistence - by Martin Zapletal
8 — The Structure of Programming Revolutions - by Noel Welsh
9 — Data Structures of the Dark Side - by Shimi Bandiel
10 — Towards a safe, sane I O library in Scala - by Pathikrit Bhowmick
11 — Scala Goes Native - by Denys Shabalin
12 — Async Testing on the JVM and Scala.js - by Bill Venners
13 — So, You Want to "Do Big Data?" - by Jan Machacek
14 — Principles of Elegance - by Jon Pretty
15 — Being Creative with Genetic Algorithms and Typeclasses - by Noel Markham
16 — The Things Scala js Does to Make Your Code Fast - by Sébastien Doeraene
17 — Connecting Reactive Applications with Fast Data Using Reactive Streams - by Luc Bourlier
18 — Large scale graph analysis using Scala and Akka - by Ben Fonarov
19 — Metaprogramming 2.0 - by Eugene Burmako
20 — Trading in Futures - By Viktor Klang
21 — One Microservices is no microservice: They come in systems - by Markus Eisele
22 — Polymorphic record types in a lifted enbedding - by Stefan Zeiger
23 — Reactive Microservices with Akka and Docker - by Heiko Seeberger
24 — Scala on the Move! - by Shadaj Laddad
25 — Why the free Monad isn't free - by Kelley Robinson
26 — The Future of Scala Performance on Big Data - by Carlos Abad
27 — Mastering Scala with IntelliJ IDEA - by Alexander Podkhalyuzin
28 — Using Actors for the Internet of (Lego) Trains - by Johan Janssen
29 — Full stack Scala - by Ramnivas Laddad
30 — Everything You Always Wanted to Know About Pattern Matching - by Lutz Huehnken
31 — @inline and @specialized: What do they do? Should I be using them? - by Chris Birchall
32 — Implementing Microservices with Scala and Akka - by Vaughn Vernon
33 — Microservices based off Akka cluster at iHeartRadio - by Kailuo Wang
34 — Dotty support in IntelliJ IDEA by Andrew Kozlov
35 — Distributed Real Time Stream Processing: Why and How by Petr Zapletal
36 — CBT A New, Intuitive Build Tool for Scala by Christopher Vogt new
37 — Scala: The Unpredicted Lingua Franca for Data Science - by Andy Petrella & Dean Wampler
38 — Lightbend Lagom: Microservices Just Right - by Mirco Dotta
39 — Domain Driven Design and Onion Architecture in Scala - by Wade Waldron
40 — Implicits Inspected and Explained - by Tim Soethout
41 — The Zen of Akka - by Konrad Malawski
42 — Reducing Microservice Complexity with Kafka and Reactive Streams - by Jim Riecken
43 — Deep Learning and NLP with Spark - by Andy Petrella
44 — Roll Your Own Shapeless - by Daniel Spiewak
45 — Hands on Introduction to Distributed Systems Concepts with Akka Clustering - by David Russell
46 — Closing Panel Discussion
47 — Build a Recommender System in Apache Spark and Integrate It Using Akka - by Willem Meints
48 — Transactional Event Sourcing using Slick audit log for free - by Adam Warski
49 — Dotty Linker: Precise Types Bring Performance by Dmitry Petrashko
50 — Introducing the Scala Center - by Heather Miller