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Design Patterns for Large-Scale Real-Time Learning

Sean Owen provides examples of operational analytics projects, presenting a reference architecture and algorithm design choices for a successful implementation based on his experience Oryx/Cloudera.

Sean Owen
on Apr 15, 2014

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43:05
Dissecting Clojure Reducers

Renzo Borgatti discusses implementing parallel solutions with reducers in Clojure, doing live coding that show what functional abstractions are involved and why.

Renzo Borgatti
on Apr 14, 2014

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38:45
Enso: Composing DSL Interpreters, Languages & Aspects

William Cook introduces Enso, an external language workbench with both graphical and textual editing capabilities.

William Cook
on Apr 14, 2014

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34:54
All Your Types Are Belong to Us!

Phil Trelford demoes accessing a variety of data sources via F# Type Providers.

Phil Trelford
on Apr 13, 2014

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41:52
How Frameworks Can Kill Your Projects and Patterns to Prevent Getting Killed

Sander Hoogendoorn shares patterns to avoid framework issues by using layered architectures, bridge patterns, managers-providers, DI, descriptors and layer super-types, including code samples.

Sander Hoogendoorn
on Apr 12, 2014

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57:54
Going Reactive: New and Old Ideas for Your 21st Century Architectures

Jonas Bonér, Francesco Cesarini discuss the evolution of distributed concurrent thinking along with the problems it has to solve and the toolchains created along the way.

Jonas Bonér Francesco Cesarini
on Apr 12, 2014

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01:03:55
Servo: Designing and Implementing a Parallel Browser

Jack Moffitt discusses where and how to achieve parallelism in a browser, how it is done by Servo, and how Rust has helped.

Jack Moffitt
on Apr 09, 2014

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40:39
Real Data Science at NASA

Chris Mattmann envisions data science by integrating science software into rapid data production systems using cloud computing and open source software.

Chris Mattmann
on Apr 08, 2014

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40:50
Lambdas & Streams

Simon Ritter discusses the syntax and use of Lambda expressions, focusing on using Streams to greatly simplify the way bulk and aggregate operations are handled in Java.

Simon Ritter
on Apr 06, 2014

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54:46
Methodology Patterns: a Different Approach to Create a Methodology for Your Project

Giovanni Asproni suggests that teams should not blindly embrace a methodology but rather create their own suiting their specific needs by using an approach based on patterns and pattern languages.

Giovanni Asproni
on Apr 05, 2014

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47:33
How Requirements from the Old World Make Erlang Fit into the New World

Robert Virding describes how Erlang was developed to solve the concurrency and reliability requirements of telecommunications, dealing with challenges that are similar with those of cloud computing.

Robert Virding
on Apr 05, 2014

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01:27:12
Game of Threads - You Spawn or You Die

Torben Hoffmann discusses doing parallel programming with the Intensional Computing Engine (ICE) on top of the Erlang VM.

Torben Hoffmann
on Apr 04, 2014

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48:59