{"id":1055,"date":"2008-02-26T01:50:21","date_gmt":"2008-02-26T09:50:21","guid":{"rendered":"http:\/\/cephas.net\/blog\/2008\/02\/26\/links-2-25-2008\/"},"modified":"2008-03-12T20:54:45","modified_gmt":"2008-03-13T04:54:45","slug":"links-2-25-2008","status":"publish","type":"post","link":"https:\/\/cephas.net\/blog\/2008\/02\/26\/links-2-25-2008\/","title":{"rendered":"Links: 2-25-2008"},"content":{"rendered":"<ul>\n<li><a href=\"http:\/\/news.ycombinator.com\/item?id=68227\">Hacker News | Ask: Text Message Providers? (Who do Buxfer,etc use?)<\/a><br \/>      Good info on SMS  \/ text messaging providers.<br \/>    (categories:  <a href=\"http:\/\/del.icio.us\/ajohnson1200\/sms\">sms<\/a> <a href=\"http:\/\/del.icio.us\/ajohnson1200\/messaging\">messaging<\/a> <a href=\"http:\/\/del.icio.us\/ajohnson1200\/mobile\">mobile<\/a> <a href=\"http:\/\/del.icio.us\/ajohnson1200\/text\">text<\/a> )\n<p\/><\/li>\n<li><a href=\"http:\/\/www.highscalability.com\/how-rackspace-now-uses-mapreduce-and-hadoop-query-terabytes-data\">Rackspace: Using MapReduce and Hadoop to Query Terabytes of Data<\/a><br \/>      Great writeup on how Rackspace&#8217;s mail division uses MapReduce and Hadoop to big data. Note: Mailtrust generates several hundred gigabytes of email log data each day.<br \/>    (categories:  <a href=\"http:\/\/del.icio.us\/ajohnson1200\/bigdata\">bigdata<\/a> <a href=\"http:\/\/del.icio.us\/ajohnson1200\/mail\">mail<\/a> <a href=\"http:\/\/del.icio.us\/ajohnson1200\/scalability\">scalability<\/a> <a href=\"http:\/\/del.icio.us\/ajohnson1200\/architecture\">architecture<\/a> <a href=\"http:\/\/del.icio.us\/ajohnson1200\/mapreduce\">mapreduce<\/a> <a href=\"http:\/\/del.icio.us\/ajohnson1200\/hadoop\">hadoop<\/a> <a href=\"http:\/\/del.icio.us\/ajohnson1200\/performance\">performance<\/a> )\n<p \/><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Hacker News | Ask: Text Message Providers? (Who do Buxfer,etc use?) Good info on SMS \/ text messaging providers. (categories: sms messaging mobile text ) Rackspace: Using MapReduce and Hadoop to Query Terabytes of Data Great writeup on how Rackspace&#8217;s mail division uses MapReduce and Hadoop to big data. Note: Mailtrust generates several hundred gigabytes &hellip; <a href=\"https:\/\/cephas.net\/blog\/2008\/02\/26\/links-2-25-2008\/\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">Links: 2-25-2008<\/span> <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"_links":{"self":[{"href":"https:\/\/cephas.net\/blog\/wp-json\/wp\/v2\/posts\/1055"}],"collection":[{"href":"https:\/\/cephas.net\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cephas.net\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cephas.net\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/cephas.net\/blog\/wp-json\/wp\/v2\/comments?post=1055"}],"version-history":[{"count":0,"href":"https:\/\/cephas.net\/blog\/wp-json\/wp\/v2\/posts\/1055\/revisions"}],"wp:attachment":[{"href":"https:\/\/cephas.net\/blog\/wp-json\/wp\/v2\/media?parent=1055"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cephas.net\/blog\/wp-json\/wp\/v2\/categories?post=1055"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cephas.net\/blog\/wp-json\/wp\/v2\/tags?post=1055"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}