Federico Feroldi’s blog | by Federico Feroldi
Aug
23
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Here is an example on calculating the Pearson Distance for ranking data. You can read about the Pearson Distance algorithm in Programming Collective Intelligence. The comments will speak to that particular example.\n
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Cascading is a feature rich API for defining and executing complex and fault tolerant data processing workflows on a Hadoop cluster.\n
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Aug
22
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Async Observer is a Rails plugin that provides deep integration with Beanstalk.\n
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here’s been some fresh activity even just over the last few weeks in this area. Ara Howard compared some of these recently. I haven’t evaluated all of these packages, but here are a few I’ve looked at\n
(tags: scaling scalability rubyonrails ruby rails queueing queue messaging best-practices tools beanstalkd)\n
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curl-multi – Ruby bindings for the libcurl multi interface\n
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Beanstalkd is a big to-do list for your distributed application.\n
(tags: twitter scaling rails messaging distributed beanstalkd background queue ruby scalability tool best-practices)\n
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This article is about Ruby On Rails and its interaction with MySQL in general.\n
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Using the instructions followed in JRuby Hack Day and taking some help from Nick, I figured out how to use the JDBC connection pools configured in GlassFish using the JNDI names.\n
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(tags: scaling scalability ruby ror rails facebook architecture rubyonrails best-practices beanstalkd queue messaging)\n
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(tags: rubyonrails ruby ror rails pooling jruby linkedin jdbc java glassfish scalability best-practices)\n
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Version 1.0 of the Sendible API lets you write applications that can make use of Sendible's message scheduling technology to schedule Email and SMS messages to be sent at a time in the future.\n
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Aug
21
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JtestR is a tool that will make it easier to test Java code with state of the art Ruby tools.\n
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What follows is an attempt to highlight a selection of these features of standard Common Lisp, concisely, with appropriate illustrations.\n
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Aug
20
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Cassandra is a distributed storage system for managing structured data while providing reliability at a massive scale.\n
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AWS and Hadoop developer Tom White shows how to use Hadoop and Amazon Web Services together to process a large collection of web access logs.\n
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(tags: yearbookyourself yearbook webservice web2.0 upload tools retro pictures picture photoshop fun)\n
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This tutorial introduces BlackBerry application development within the context of the mobile data-collection application space.\n
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