solnic.eu Blog Github Twitter 8 Things I Learned During 8 Years of Ruby and Rails Posted by solnic on Mar 4 2015 Exactly 8 years ago I started working professionally as a rails developer. I’ve spent a lot of time working for various clients, on various projects - from small green-field apps to 5+ year old rails monstrosities. In addition to Rails development I got involved in OSS. Back in 2011 I joined DataMapper core team, a couple years later I started working on ROM project and effectively stopped working on DataMapper. During this time I’ve learned a lot and I was lucky to be able to work with some of the brightest people in the ruby community. My experiences have had a significant impact on how I work, what I do, and why . Today I decided to list 8 things that I learned that have either changed the way I work with Ruby or they’ve set a direction for the future. It’s not a deep ...
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Adam Drake About Sat 25 January 2014 by Adam Drake As I was browsing the web and catching up on some sites I visit periodically, I found a cool article from Tom Hayden about using Amazon Elastic Map Reduce (EMR) and mrjob in order to compute some statistics on win/loss ratios for chess games he downloaded from the millionbase archive , and generally have fun with EMR. Since the data volume was only about 1.75GB containing around 2 million chess games, I was skeptical of using Hadoop for the task, but I can understand his goal of learning and having fun with mrjob and EMR. Since the problem is basically just to look at the result lines of each file and aggregate the different results, it seems ideally suited to stream processing with shell commands. I tried this out, and for the same amount of data I was able to use my laptop to get the results in about 12...
html Ad: Leaderboard QS-AD: 'lb' start QS-AD: 'lb' end Container: Navigation Distros SysAdmin Mobile Software Datacenter HPC Development LMTV Container: Primary Content Harness the power of distributed computing using everyday Unix command-line tools and a clever little bash script. By Jeremy Zawodny Monday, July 6th, 2009 <script type='text/javascript'> GA_googleFillSlot("LinuxMagazine_ROS_300x250_North"); </script> QS-AD: 'imu' start QS-AD: 'imu' end In late 2004, Google surprised the world of computing with the release of the paper MapReduce: Simplified Data Processing on Large Clusters . That paper ushered in a new model for data processing across clusters of machines that had the benefit of being simple to understand and incredibly flexible. Once you adopt ...
Skip to content Sign up Sign in This repository Explore Features Enterprise Blog Watch 51 Star 656 Fork 66 erikfrey / bashreduce /.container /.repohead Code Issues Pull Requests Pulse Graphs HTTPS Subversion You can clone with HTTPS or Subversion . Download ZIP /.repository-sidebar mapreduce in bash 42 commits 3 branches 0 releases 2 contributors C 49.8% Shell 44.8% Makefile 5.4% C Shell Makefile branch: master Switch branches/tags Branches Tags arosien/master brm master Nothing to show Nothing to show bashreduce / MIT license - have fun everyone latest commit 5a095e771c erikfrey authored Mar 1, 2015 Failed to load latest commit infor...
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<![endif] Start Alexa Certify Javascript End Alexa Certify Javascript Sections Machines Discoveries Space Futures Culture Earth Videos About en de es it nl pt VICE Share Tweet Motherboard Motherboard Watch Sections Machines Discoveries Space Futures Culture Earth Latest Videos Documentaries Interviews Machines Discoveries Space Futures Culture Earth Follow Newsletter Image: Mando Gomez/Flickr March 2, 2015 // 06:00 AM EST It could be the largest child porn investigation ever conducted. Canadian police say they’ve uncovered a massive online file sharing network for exploitative material that could involve up to 7,500 users in nearly 10...
<![endif] start wired/views/global/partial-header-meta.php WIRED GEAR Autopia Gadget Lab Reviews SCIENCE Science Science Blogs ENTERTAINMENT Game|Life Playbook Underwire BUSINESS Business Business Conference In today's business world, disruption is a constant force that never lets up. At the annual WIRED Business Conference: Disruptive by Design, we celebrate the creative power of bold new ideas and the people that make them happen. See the event > Enterprise Innovation Insights SECURITY Danger Room Threat Level DESIGN Design ...
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Adam Marcus Unlike most of the other projects in this book, NoSQL is not a tool, but an ecosystem composed of several complimentary and competing tools. The tools branded with the NoSQL monicker provide an alternative to SQL-based relational database systems for storing data. To understand NoSQL, we have to understand the space of available tools, and see how the design of each one explores the space of data storage possibilities. If you are considering using a NoSQL storage system, you should first understand the wide space of options that NoSQL systems span. NoSQL systems do away with many of the traditional comforts of relational database systems, and operations which were typically encapsulated behind the system boundary of a database are now left to application designers. This requires you to take on the hat of a systems architect, which requires a more in-depth und...
skip links for text browsers skip to main | skip to sidebar DBMS Musings google_ad_section_start(name=default) Friday, April 23, 2010 Over the past few weeks, in my advanced database system implementation class I teach at Yale, I’ve been covering the CAP theorem, its implications, and various scalable NoSQL systems that would appear to be influenced in their design by the constraints of CAP. Over the course of my coverage of this topic, I am convinced that CAP falls far short of giving a complete picture of the engineering tradeoffs behind building scalable, distributed systems. My problems with CAP CAP is generally described as the following: when you build a distributed system, of three desirable properties you want in your system: consistency, availability, and tolerance of network partitions, you can only choose two. Already there is...
<![endif] Coda Hale { writing , projects , about , contact } You Can’t Sacrifice Partition Tolerance 07 Oct 2010 I’ve seen a number of distributed databases recently describe themselves as being “CA” –that is, providing both consistency and availability while not providing partition-tolerance. To me, this indicates that the developers of these systems do not understand the CAP theorem and its implications. In 2000, Dr. Eric Brewer gave a keynote at the Proceedings of the Annual ACM Symposium on Principles of Distributed Computing 1 in which he laid out his famous CAP Theorem: a shared-data system can have at most two of the three following properties: C onsistency, A vailability, and tolerance to network P artitions. In 2002, Gilbert and Lynch 2 converted “Brewer’s conjecture” into a more formal definition with an informal proof. As far as I can tell, it’s been misundersto...
Skip to content Sign up Sign in This repository Explore Features Enterprise Blog Watch 19 Star 248 Fork 41 michaelklishin / monger /.container /.repohead Code Issues Pull Requests Pulse Graphs HTTPS Subversion You can clone with HTTPS or Subversion . Download ZIP /.repository-sidebar Permalink blob contrib key: blob_contributors:v21:15115d95b773d23e6a2e5062f17e983b branch: master Switch branches/tags Branches Tags 1.0.x-stable 1.1.x-stable 1.2.x-stable 1.3.x-stable 1.4.x-stable 1.5.x-stable 1.6.x-stable 1.7.x-stable 2.0.x-stable 2.1.x-stable factories java-driver-3-0 master Nothing to show v2.1.0 v2.0.1 v2.0.0-rc1 v2.0.0 v1.8.0-beta1 v1.8.0 v1.7.0-beta1 ...
