InfoQ Homepage Presentations
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REEF: Retainable Evaluator Execution Framework
Rusty Sears introduces REEF along with examples of computational frameworks, including interactive sessions, iterative graph processing, bulk synchronous computations, Hive queries, and MapReduce.
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Culture and Happiness in Virtual Teams
Floyd Marinescu shares how the virtual teams behind InfoQ.com and QCon are run: processes, tools, & mindset needed to run virtually while delivering purpose, autonomy & mastery for over 7 years.
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Fast and Dynamic
Maxime Chevalier-Boisvert discusses making dynamic languages faster providing various examples of optimizations: SmallTalk, LISP machine, Google V8 and others.
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Evolving Mobile Architectures at MI9
Cameron Barrie, James Brett, Stewart Gleadow share lessons learned using Agile methodologies to build an iOS application, discussing its architecture and the benefits of hybrid apps.
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Programming in the Cloud - Groovy as an Extension Language for Oracle ADFm
Jim Driscoll discusses using ADFm to create and change Groovy scripts at runtime and debugging a live system with JWDP.
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RESTful Groovy
Kyle Boon reviews 3 frameworks for building RESTful WS- Grails, Dropwizard and Ratpack-, comparing their code readability, maintainability, deployment, metrics collection, scalability and testability.
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Ember Reusable Components and Widgets
Sergey Bolshchikov discusses building complex UIs with Ember.js by combining Handlebars templates and Ember.View.
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Metaprogramming With The Groovy Compiler - Part 2/2
Jeff Scott Brown discusses Groovy’s compile time metaprogramming capabilities.
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How a Small Team Scales Instagram
Mike Krieger discusses Instagram's best and worst infrastructure decisions, building and deploying scalable and extensible services.
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Scaling AncestryDNA using Hadoop and HBase
Bill Yetman and Jeremy Pollack discuss using Agile techniques -start simple, get going, iterate- and the “measure everything” principle to create the architecture behind the Family History website.
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Building a Culture Where Software Projects Get Done
Greg Brockman shares Stripe's principles powering their software projects and the culture instilled to avoid the usual software engineering traps: failed rewrites, delayed timelines, etc.
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Apache Tez: Accelerating Hadoop Query Processing
Bikas Saha and Arun Murthy detail the design of Tez, highlighting some of its features and sharing some of the initial results obtained by Hive on Tez.
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