{"width":"100%","version":"1.0","author_url":"https://blog.hatena.ne.jp/yohei-a/","published":"2020-03-15 17:40:08","height":"190","url":"https://yohei-a.hatenablog.jp/entry/20200315/1584261608","provider_name":"Hatena Blog","image_url":null,"blog_title":"ablog","description":"Apache Impala\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0 #dbts2018 from Cloudera Japan Effective Data Lakes - \u30e6\u30fc\u30b9\u30b1\u30fc\u30b9\u3068\u30c7\u30b6\u30a4\u30f3\u30d1\u30bf\u30fc\u30f3 from Noritaka Sekiyama Amazon S3 Best Practice and Tuning for Hadoop/Spark in the Cloud from Noritaka Sekiyama Apache Hadoop\u30a8\u30b3\u30b7\u30b9\u30c6\u30e0\u306b\u304a\u3051\u308b\u3001\u7570\u306a\u308b\u30d5\u30a1\u30a4\u30eb\u5f62\u5f0f\u3068\u30b9\u30c8\u30ec\u30fc\u30b8\u30a8\u30f3\u30b8\u30f3\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u6bd4\u8f03 [\u7ffb\u8a33\u8a18\u4e8b] \u5c0f\u3055\u306a\u30d5\u30a1\u30a4\u30eb\u304c\u5927\u304d\u306a\u554f\u984c\u3092\u5f15\u304d\u8d77\u3053\u3059\uff1aHadoop\u30af\u30e9\u30b9\u30bf\u30fc\u3067\u2026","type":"rich","categories":["Hadoop","HDFS"],"author_name":"yohei-a","provider_url":"https://hatena.blog","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fyohei-a.hatenablog.jp%2Fentry%2F20200315%2F1584261608\" title=\"\u30e1\u30e2 - ablog\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","title":"\u30e1\u30e2","blog_url":"https://yohei-a.hatenablog.jp/"}