Scala Days 2016

Videos

1 — Spark 2.0 - by Matei Zaharia
2 — Async Testing on the JVM and Scala.js - by Bill Venners
3 — Monitoring Reactive Applications - by Duncan DeVore & Henrik Engström
4 — Keynote: Scala's Road Ahead - by Martin Odersky
5 — Scala Goes Native - by Denys Shabalin
6 — Finagle Under the Hood - by Vladimir Kostyukov
7 — So, You Want to "Do Big Data?" - by Jan Machacek
8 — Data in Motion: Streaming Static Data Efficiently in Akka Persistence - by Martin Zapletal
9 — The Structure of Programming Revolutions - by Noel Welsh
10 — Perfect Scalability - by Michael Nash
11 — Data Structures of the Dark Side - by Shimi Bandiel
12 — Being Creative with Genetic Algorithms and Typeclasses - by Noel Markham
13 — The Things Scala js Does to Make Your Code Fast - by Sébastien Doeraene
14 — Towards a safe, sane I O library in Scala - by Pathikrit Bhowmick
15 — Principles of Elegance - by Jon Pretty
16 — CBT A New, Intuitive Build Tool for Scala by Christopher Vogt new
17 — Mastering Scala with IntelliJ IDEA - by Alexander Podkhalyuzin
18 — One Microservices is no microservice: They come in systems - by Markus Eisele
19 — Trading in Futures - By Viktor Klang
20 — Metaprogramming 2.0 - by Eugene Burmako
21 — Polymorphic record types in a lifted enbedding - by Stefan Zeiger
22 — Reactive Microservices with Akka and Docker - by Heiko Seeberger
23 — Scala on the Move! - by Shadaj Laddad
24 — Large scale graph analysis using Scala and Akka - by Ben Fonarov
25 — Dotty support in IntelliJ IDEA by Andrew Kozlov
26 — Why the free Monad isn't free - by Kelley Robinson
27 — The Future of Scala Performance on Big Data - by Carlos Abad
28 — Using Actors for the Internet of (Lego) Trains - by Johan Janssen
29 — Implementing Microservices with Scala and Akka - by Vaughn Vernon
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 — Full stack Scala - by Ramnivas Laddad
33 — Microservices based off Akka cluster at iHeartRadio - by Kailuo Wang
34 — Distributed Real Time Stream Processing: Why and How by Petr Zapletal
35 — The Future of Scala Performance on Big Data by Carlos Abad
36 — Keynote: Postcapitalism by Jamie Dobson
37 — Keynote: Introducing the Scala Center by Heather Miller
38 — Connecting Reactive Applications with Fast Data Using Reactive Streams - by Luc Bourlier
39 — Being Creative with Genetic Algorithms and Typeclasses by Noel Markham
40 — Roll Your Own Shapeless by Daniel Spiewak
41 — One Microservice is No Microservice - They Come in Systems by Markus Eisele
42 — Reactors Road to Composable Distributed Computing by Aleksandar Prokopec
43 — Dotty Linker: Precise Types Bring Performance by Dmitry Petrashko
44 — Beyond Shuffling: Scaling Apache Spark by Holden Karau
45 — Data in Motion: Streaming Static Data Efficiently in Akka Persistence by Martin Zaplatal
46 — Buying into Scala from the Inside and Out by Sofia Cole and Dave Gurnell
47 — Async Testing on the JVM and Scala.js by Bill Venners
48 — The Structure of Programming Revolutions by Noel Welsh
49 — Programming with Futures, Lattices and Quiescence by Philipp Haller
50 — Metaprogramming 2.0 by Eugene Burmako
51 — Deep Learning and NLP with Spark by Andy Petrella and Melanie Warrick
52 — Dotty Support in IntelliJ IDEA by Andrew Kozlov
53 — Reactive Microservices with Akka and Docker by Heiko Seeberger
54 — Scylla, Charybdis, and the mystery of Quill by Flavio Brasil
55 — Data-centric Metaprogramming by Vlad Ureche
56 — Connecting Reactive Applications with Fast Data Using Reactive Streams by Luc Bourlier
57 — Distributed Real-Time Stream Processing: Why and How by Petr Zapletal
58 — Scala Days Berlin Closing Panel
59 — Typelevel in 2016 by Miles Sabin
60 — Swave - a fresh Reactive Streams Implementation by Mathias Doenitz
61 — Implicits Inspected and Explained by Tim Soethout
62 — Immutable data stores and CORS for safety, flexibility and profit by Sidney Shek
63 — better files: Towards a safe, sane I O library in Scala by Pathikrit Bhowmick
64 — Beyond the Buzzword: A Reactive Web Application in Practice by Manuel Bernhardt
65 — Lightbend Lagom: Microservices "Just Right" by Mirco Dotta
66 — Perfect Scalability by Michael Nash
67 — Machine Learning with Scala on Spark by Jose Quesada
68 — Build a Recommender System in Apache Spark and Integrate it Using Akka by Willem Meints
69 — Principles of Elegance by Jon Pretty
70 — Scalan: a reasonably typed meta programming framework in Scala by Alexander Slesarenko
71 — Scala: The Unpredicted Lingua Franca for Data Science - by Andy Petrella & Dean Wampler
72 — Akka js: Drop Your Actos Outside the JVM Boundaries Andrea Peruffo
73 — Scala.js: Beyond the Coast-to-Coast Approach by Katrin Shechtman
74 — Transactional Event Sourcing Using Slick (Audit Log for Free!) by Adam Warski
75 — Using Actors for the Internet of (Lego) Trains by Johan Janssen & Mark van Cuijk
76 — Mastering Scala with IntelliJ IDEA by Alexander Prodkhalyuzin
77 — Scala: The Unpredicted Lingua Franca for Data Science by Dean Wampler & Andy Petrella
78 — Scala and the JVM as a Big Data Platform Lessons from Apache Spark by Dean Wampler
79 — Scala goes Native by Denys Shabalin
80 — Akka Streams & Reactive Streams in action by Konrad Malawski
81 — Deep Dive Into Scala.js Internals by Sébastien Doeraene
82 — Nightmare Before Best Practices by José Castro
83 — Implementing Microservices with Scale and Akka by Vaughn Vernon
84 — Don't Fear the Implicits: Everything You Need to Know About Typeclasses by Daniel Westheide
85 — @inline and @specialized What Do They Do? Should I Be Using Them? by Chris Birchall
86 — Polymorphic Record Types in a Limited Embedding by Stefan Zeiger
87 — Monitoring Reactive Applications by Duncan DeVore & Henrik Engström
88 — Keynote: Scala's Road Ahead by Martin Odersky
89 — The Zen of Akka - by Konrad Malawski
90 — Dotty Linker: Precise Types Bring Performance by Dmitry Petrashko
91 — Transactional Event Sourcing using Slick audit log for free - by Adam Warski
92 — Build a Recommender System in Apache Spark and Integrate It Using Akka - by Willem Meints
93 — Closing Panel Discussion
94 — Hands on Introduction to Distributed Systems Concepts with Akka Clustering - by David Russell
95 — Domain Driven Design and Onion Architecture in Scala - by Wade Waldron
96 — Roll Your Own Shapeless - by Daniel Spiewak
97 — Reducing Microservice Complexity with Kafka and Reactive Streams - by Jim Riecken
98 — Deep Learning and NLP with Spark - by Andy Petrella
99 — Implicits Inspected and Explained - by Tim Soethout
100 — Lightbend Lagom: Microservices Just Right - by Mirco Dotta
101 — Introducing the Scala Center - by Heather Miller
102 — Nightmare Before Best Practices - by José Castro