{"title":"Parquet \u306b\u3064\u3044\u3066\u306e\u30e1\u30e2","categories":[],"url":"https://yohei-a.hatenablog.jp/entry/20180924/1537775843","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fyohei-a.hatenablog.jp%2Fentry%2F20180924%2F1537775843\" title=\"Parquet \u306b\u3064\u3044\u3066\u306e\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>","author_url":"https://blog.hatena.ne.jp/yohei-a/","width":"100%","blog_title":"ablog","image_url":null,"blog_url":"https://yohei-a.hatenablog.jp/","author_name":"yohei-a","version":"1.0","type":"rich","provider_url":"https://hatena.blog","published":"2018-09-24 16:57:23","description":"Apache Impala\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0 #dbts2018 from Cloudera Japan \u300cdb analytics showcase Sapporo 2018\u300d\u3067\u7389\u5ddd\u7adc\u53f8\u3055\u3093\u306eParquet\u306e\u8a71\u3092\u805e\u3044\u3066\u304d\u307e\u3057\u305f #dbts2018 #dbasSPR \uff5c DevelopersIO Diving into Spark and Parquet Workloads, by Example | Databases at CERN 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","height":"190","provider_name":"Hatena Blog"}