[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"blogCategories:en":3,"blog::product:en":28},[4,7,10,13,16,19,22,25],{"title":5,"slug":6},"Engineering","engineering",{"title":8,"slug":9},"Event Report","eventreport",{"title":11,"slug":12},"Market Insights","market-insights",{"title":14,"slug":15},"Product","product",{"title":17,"slug":18},"Product Comparison","product-comparison",{"title":20,"slug":21},"Product Guide","product-guide",{"title":23,"slug":24},"Tips & Case Study","tips-case-study",{"title":26,"slug":27},"Vision","vision",[29],{"title":30,"slug":31,"description":32,"author":33,"category":34,"urlCategorySlug":15,"coverImageUrl":36,"ogImageUrl":36,"createdAt":37,"updatedAt":38,"datePublished":39,"locale":40},"Maximize the Power of Snowflake - New Integration Available","snowflake-beta-release","Combining Snowflake with Codatum delivers three key benefits: streamlined ad-hoc analysis via notebooks, reduced compute costs through result caching, and enhanced insights with intuitive visualizations. Seamless workflow from data to insights.","Naoki Shibayama",{"title":14,"slug":15,"description":35},"","https:\u002F\u002Fimages.ctfassets.net\u002Fggtw2zqmifs5\u002F8hi7ybyAtttZGwsinN2iG\u002F889a9dc18fb673b1650fd9f1e6ad5e70\u002Fsnowflake.jpg","2025-04-14T09:30:10.535Z","2026-05-07T09:26:08.433Z","2025-04-15T10:00+09:00","en"]