{"blog_url":"https://marshal115.hatenablog.com/","url":"https://marshal115.hatenablog.com/entry/2023/12/04/234525","published":"2023-12-04 23:45:25","provider_name":"Hatena Blog","title":"Direct Lake\u3067\u30d5\u30a3\u30fc\u30eb \u30c9\u30d1\u30e9\u30e1\u30fc\u30bf\u30fc\u3092\u4f7f\u3046","version":"1.0","height":"190","provider_url":"https://hatena.blog","blog_title":"\u30c6\u30af\u30c6\u30af\u65e5\u8a18","author_url":"https://blog.hatena.ne.jp/marshal115/","width":"100%","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/m/marshal115/20231202/20231202134643.png","type":"rich","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fmarshal115.hatenablog.com%2Fentry%2F2023%2F12%2F04%2F234525\" title=\"Direct Lake\u3067\u30d5\u30a3\u30fc\u30eb \u30c9\u30d1\u30e9\u30e1\u30fc\u30bf\u30fc\u3092\u4f7f\u3046 - \u30c6\u30af\u30c6\u30af\u65e5\u8a18\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","description":"2022\u5e74\u306b\u767b\u5834\u3057\u305fPower BI Desktop\u306e\u6700\u3082\u512a\u308c\u305f\u6a5f\u80fd\u306e1\u3064\u306b\u3001\u30d5\u30a3\u30fc\u30eb\u30c9 \u30d1\u30e9\u30e1\u30fc\u30bf\u30fc\uff08\u4ee5\u4e0b\u300cFP\u300d\uff09\u304c\u3042\u308a\u307e\u3059\u3002\u4ee5\u524d\u3001\u79c1\u306f\u3053\u306e\u6a5f\u80fd\u306b\u3064\u3044\u3066\u3044\u304f\u3064\u304b\u306e\u8a18\u4e8b\uff08\u2460\u3001\u2461\uff09\u3067\u53d6\u308a\u4e0a\u3052\u307e\u3057\u305f\u304c\u3001\u305d\u306e\u4f7f\u3044\u3084\u3059\u3055\u3084\u52b9\u679c\u304b\u3089\u3001\u591a\u304f\u306e\u4f01\u696d\u3067\u73fe\u5728\u3082\u5e83\u304f\u5229\u7528\u3055\u308c\u3066\u3044\u308b\u3088\u3046\u3067\u3059\u3002\u6700\u8fd1\u3067\u306f\u3001\u9867\u5ba2\u304b\u3089\u300cDirect Lake\u30e2\u30fc\u30c9\u3067FP\u3092\u6d3b\u7528\u3057\u305f\u3044\u304c\u3001Power BI Desktop\u306e\u300c\u65b0\u3057\u3044\u30d1\u30e9\u30e1\u30fc\u30bf\u30fc\u300d\u304c\u30b0\u30ec\u30a4\u30a2\u30a6\u30c8\u3055\u308c\u3066\u304a\u308a\u3001\u3053\u308c\u3092\u5b9f\u73fe\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u306a\u3044\u300d\u3068\u3044\u3046\u8cea\u554f\u3092\u53d7\u3051\u307e\u3057\u305f\u3002 \u4eca\u56de\u306f\u3053\u306e\u4e8b\u8c61\u53ca\u3073\u89e3\u6c7a\u7b56\u3092\u7d39\u4ecb\u3057\u305f\u3044\u3068\u601d\u3044\u307e\u3059\u3002 \u203b\u6ce8\u610f\u300c\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u300d\u306f\u5225\u540d\u300c\u30bb\u30de\u30f3\u30c6\u30a3\u30c3\u30af\u30e2\u30c7\u30eb\u300d\u306b\u5909\u66f4\u3068\u306a\u3063\u3066\u3044\u307e\u2026","author_name":"marshal115","categories":["Power BI","DAX / Data Model","Fabric"]}