Data in Motion

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====== TODO ======

Articles to write; things to consider doing.

===== Why Clojure / Learning Clojure =====

  - Clojure isn't about FP, but:
    * Data fundamentally takes a few core shapes and programs generically manipulate those few core shapes of data
      * What?
        * Sequences (lists, vectors)
        * Maps
        * Sets
        * Simple data types (numbers, strings, etc.)
      * Examples
        * clojure.java.io/input-stream - Set of input types
        * map/reduce (flatmap) have exactly one implementation in Clojure and will never need another one
          * (Contrast with Scala where every collection needs its own map/flatten/flatmap implementations)
  - Separating the customer's perspective/vocabulary from the program's
    * Concerns
      * Customer has one vocabulary (Objects formalize that vocabulary into protocols that make it impossible to process data generically)
      * Programs want to process data as generically as possible
    * These two concerns tend to be intertwined in OO programs.  Lisp gives us tools to separate those concerns.
      * Internal DSLs
  - Compile-time type inference/checking with Specs

===== Scala / FP =====

[[Getting Started with PlayFramework in Eclipse]]

[[PlayFramework Overview]] -- Implementing a Sinkhole Server in PlayFramework

Object-oriented Pipelines in Java -- (Implementing Monads over Iterable<T>)
  * Foreach
  * LazyParallel
  * ThreadPool

===== The Cloud =====

AWS?

===== EMF-Web =====

  * Maximillian: I'd like a web-based version of the EMF Client Platform
  * Why Maven/OSGi integration is important

==== Home page modifications ====

  * AWS?
Data in Motion

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