{"provider_name":"Hatena Blog","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fblog.g-gen.co.jp%2Fentry%2Fprompt-engineering-for-bigquery-data-canvas\" title=\"BigQuery\u30c7\u30fc\u30bf\u30ad\u30e3\u30f3\u30d0\u30b9\u3092\u4f7f\u3044\u3053\u306a\u3059\u305f\u3081\u306e\u30d7\u30ed\u30f3\u30d7\u30c8\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0 - G-gen Tech Blog\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","blog_title":"G-gen Tech Blog","author_url":"https://blog.hatena.ne.jp/ggen-msasaki/","height":"190","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/g/ggen-sugimura/20260126/20260126090011.jpg","provider_url":"https://hatena.blog","author_name":"ggen-msasaki","version":"1.0","categories":["BigQuery","\u751f\u6210AI (Generative AI)","Gemini for Google Cloud","Gemini","Google Cloud"],"width":"100%","blog_url":"https://blog.g-gen.co.jp/","published":"2026-01-26 09:00:00","description":"G-gen \u306e min \u3067\u3059\u3002BigQuery \u306b\u7d71\u5408\u3055\u308c\u305f AI \u30a2\u30b7\u30b9\u30bf\u30f3\u30c8\u6a5f\u80fd\u3067\u3042\u308b BigQuery \u30c7\u30fc\u30bf\u30ad\u30e3\u30f3\u30d0\u30b9 \u306b\u3064\u3044\u3066\u3001\u3088\u308a\u5b9f\u8df5\u7684\u306a\u6d3b\u7528\u65b9\u6cd5\u3068\u3001\u6280\u8853\u7684\u306a\u5236\u7d04\u4e8b\u9805\u306b\u3064\u3044\u3066\u89e3\u8aac\u3057\u307e\u3059\u3002 \u306f\u3058\u3081\u306b BigQuery \u30c7\u30fc\u30bf\u30ad\u30e3\u30f3\u30d0\u30b9\u3068\u306f Conversational Analytics API \u3068\u306f \u52b9\u679c\u7684\u306a\u8cea\u554f\u306e\u30c6\u30af\u30cb\u30c3\u30af \u30b3\u30f3\u30c6\u30ad\u30b9\u30c8\u3092\u5177\u4f53\u7684\u306b\u63d0\u793a\u3059\u308b \u8907\u96d1\u306a\u5206\u6790\u306f\u8907\u6570\u306e\u30b9\u30c6\u30c3\u30d7\u306b\u5206\u5272\u3059\u308b \u30c7\u30fc\u30bf\u6761\u4ef6\u3068\u96c6\u8a08\u65b9\u6cd5\u3092\u660e\u793a\u3059\u308b \u30d5\u30a9\u30ed\u30fc\u30a2\u30c3\u30d7\u8cea\u554f\u3067\u6df1\u6398\u308a\u3059\u308b \u51fa\u529b\u5f62\u5f0f\u3092\u6307\u5b9a\u3059\u308b\u30ad\u30fc\u30ef\u30fc\u30c9 \u30b5\u30f3\u30d7\u30eb\u30c7\u30fc\u30bf\u306b\u3088\u308b\u691c\u8a3c \u30c7\u30fc\u30bf\u306e\u6e96\u5099 \u5b9f\u884c\u4f8b \u5236\u9650\u4e8b\u9805 \u6982\u8981 \u53ef\u8996\u5316\u306e\u5236\u9650 \u30c7\u30fc\u30bf\u51e6\u7406\u306e\u5236\u9650 \u2026","type":"rich","url":"https://blog.g-gen.co.jp/entry/prompt-engineering-for-bigquery-data-canvas","title":"BigQuery\u30c7\u30fc\u30bf\u30ad\u30e3\u30f3\u30d0\u30b9\u3092\u4f7f\u3044\u3053\u306a\u3059\u305f\u3081\u306e\u30d7\u30ed\u30f3\u30d7\u30c8\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0"}