-- 正規化の欠点: product_name・user_name を取るために毎回 4テーブル JOIN が必要。 -- 分析クエリではこの JOIN コストが積み上がる。 -- FACT に非正規化（商品名を直接持たせる）するケースもある ...
EXTRACT(DAY FROM dt)::SMALLINT AS day_of_month, EXTRACT(DOY FROM dt)::SMALLINT AS day_of_year, EXTRACT(WEEK FROM dt)::SMALLINT AS week_of_year, EXTRACT(MONTH FROM dt)::SMALLINT AS month_number, WHEN ...
Longtime local government data platform architect and analyst joins SplashBI after using its solutions firsthand to transform enterprise financial management When someone builds real things with your ...
To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min Multiple LinkedIn users in ...
Enterprise data teams moving agentic AI into production are hitting a consistent failure point at the data tier. Agents built across a vector store, a relational database, a graph store and a ...
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