{"published":"2012-09-19 04:17:20","categories":["\u30c7\u30fc\u30bf\u5206\u6790"],"image_url":null,"blog_url":"https://alcuin.hatenablog.com/","blog_title":"Thinking out loud","provider_name":"Hatena Blog","url":"https://alcuin.hatenablog.com/entry/20120919/1347995840","author_name":"alcuin","provider_url":"https://hatena.blog","author_url":"https://blog.hatena.ne.jp/alcuin/","description":"Online resources for handling big data and parallel computing in R | blog.RDataMining.com Compared with many other programming languages, such as C/C++ and Java, R is less efficient and consumes much more memory. Fortunately, there are some packages that enables parallel computing in R and also pack\u2026","title":"R\u3067big data\u306e\u30cf\u30f3\u30c9\u30ea\u30f3\u30b0\u3068\u4e26\u5217\u8a08\u7b97","height":"190","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Falcuin.hatenablog.com%2Fentry%2F20120919%2F1347995840\" title=\"R\u3067big data\u306e\u30cf\u30f3\u30c9\u30ea\u30f3\u30b0\u3068\u4e26\u5217\u8a08\u7b97 - Thinking out loud\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","width":"100%","version":"1.0","type":"rich"}