InfoQ Homepage Architecture Content on InfoQ
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What's Needed to Make 'Model-Driven' Mainstream?
Jürgen Mutschall ponders what is to be done to make MDSD a mandatory development methodology for every large scale project.
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Keynote: Why Open Source and the Destruction of Jurisdiction Makes Scalability Possible
Theo Schlossnagle keynotes on the role of open source software and the breaking up of silos in the enterprise in creating scalable systems.
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Approximate Methods for Scalable Data Mining
Andrew Clegg overviews methods and provides use cases for performing data sets operations like membership testing, distinct counts, and nearest-neighbour finding more efficiently.
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Data Science of Love
Vaclav Petricek digs some of the romantic interactions nuggets hidden in eHarmony's large collection of human relationships.
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Leveraging Your Hadoop Cluster Better - Running Performant Code at Scale
Michael Kopp explains how to run performance code at scale with Hadoop and how to analyze and optimize Hadoop jobs.
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Rebuilding Your Engine at 200 Miles per Hour
Michael Brunton-Spall shares his experience re-architect The Guardian’ Content API from a system based on Solr to a message queue cloud service based upon Elastic Search, without any downtime.
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Taking Scala into the Enterprise
Peter Pilgrim introduces Scala to advancing beginners: getting the most out of Scala, working with popular Java frameworks, the build tools and some of the new features of Scala 2.10.
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Consumerization - What Does It Mean to a Developer?
Chris Swan discusses user experience for banking and financial mobile applications, architectures, and the frameworks and containers that ease the way to secure deployment into production.
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Functional Reactive Programming in the Netflix API
Ben Christensen explains how Netflix optimizes server’s interaction with more than 800 client devices by creating customized concurrent service endpoints with RxJava and Hystrix.
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Equity – Transparent and Live Risk Assessment
Tormod Varhaugvik provides a design and rationale for an In Memory and Big Data architecture for live equity and risk assessment, using Tax Norway’ new architecture as an example.
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Why MDA Fails: Analysis of Unsuccessful Cases
Darius Silingas reviews multiple real-world MDA cases by presenting the problems faced, analyzing what went wrong, and suggesting how to address similar issues in your projects and organizations.
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Lessons Learned Building Storm
Nathan Marz shares lessons learned building Storm, an open-source, distributed, real-time computation system.
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