Dean Wampler explains Scalding and the other Hadoop support libraries, the return of SQL, how (big) data is the killer application for functional programming, Java 8 vs Scala, and much more.
Sadek Drobi explains the benefits of functional programming for the web. Also: improving CMS by separating content from representation and how prismic.io implements ideas from functional DBs and Git.
Erik Meijer explains Monads, from the basics to the reasons for the IO Monad.
Ben Christensen explains how Netflix manages to stay online even with millions of users, the Hystrix fault tolerance library, how Netflix discovered reactive programming and why it ported Rx to Java.
Tomas Petricek explains F# and some of its features like Type Providers, pits F# Computation Expressions vs Monads, and highlights issues teaching functional programming to developers, and much more.
Duncan Coutts on Parallelism and Concurrency with Haskell, Distributed Programming with Cloud Haskell
Duncan Coutts explains the nature of Concurrency and Parallelism in Haskell, its threading and STM implementation, Erlang OTP's influence on CloudHaskell for distributed programming, Monads, and more.
Debasish Ghosh talks about the advantages of functional programming and how its abstractions help to reason about code, Monads, DSLs, NoSQL and MongoDB, and much more.
Phil Trelford discusses how to design large scale applications with functional concepts, the state of the F# community and much more.
Rúnar Bjarnason talks about the ideas behind and features in the popular scalaz library, programming concepts like (bi-directional) lenses, Scala Macros, and much more.
Viktor Klang talks about the features of Akka 2.x and future releases, Akka's approach to fault tolerance, the effort to unify Futures in Scala, and the state of functional programming.