[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"blogCategories:ja":3,"blog::product-guide:ja":28},[4,7,10,13,16,19,22,25],{"title":5,"slug":6},"Event Report","eventreport",{"title":8,"slug":9},"Product Guide","product-guide",{"title":11,"slug":12},"Tips & Case Study","tips-case-study",{"title":14,"slug":15},"Vision","vision",{"title":17,"slug":18},"エンジニアリング","engineering",{"title":20,"slug":21},"プロダクト","product",{"title":23,"slug":24},"プロダクト比較","product-comparison",{"title":26,"slug":27},"マーケットインサイト","market-insights",[29,41,50,60,69,78],{"title":30,"slug":31,"description":32,"author":33,"category":34,"coverImageUrl":36,"ogImageUrl":37,"createdAt":38,"updatedAt":38,"datePublished":39,"locale":40},"2026年版 Power BI 完全ガイド: Microsoft Fabric時代のBI・Copilot・料金を解説","power-bi","Power BI の基本機能、Microsoft Fabric との関係、Copilot、共有・埋め込み、料金、導入前のポイントを、2026年時点の公式情報とレビュー傾向をもとに整理します。","Codatum Team",{"title":8,"slug":9,"description":35},"外部プロダクト・データツールの解説ガイド","https:\u002F\u002Fimages.ctfassets.net\u002Fggtw2zqmifs5\u002F5MBFAxcr4v3DbfX5PwFnjB\u002F421ab4a5514e07340fcc2859c4f80dd1\u002Fcover-blueprint.png","https:\u002F\u002Fimages.ctfassets.net\u002Fggtw2zqmifs5\u002F3enYrNWqCrrxOrqQmCEwRO\u002Fda14db4190267b8c2ba1fdb5618d4a66\u002Fog-blueprint.png","2026-06-23T00:00:10.879Z","2026-06-23T09:00+09:00","ja",{"title":42,"slug":43,"description":44,"author":33,"category":45,"coverImageUrl":46,"ogImageUrl":47,"createdAt":48,"updatedAt":48,"datePublished":49,"locale":40},"2026年版 AWS QuickSight 完全ガイド: Amazon Quick時代のBI・AI分析・料金を解説","aws-quicksight","Amazon QuickSight \u002F Quick Sight の基本機能、Amazon Quick との関係、Generative BI、料金、共有・埋め込み、導入前のポイントを、2026年時点の実機検証と公式情報をもとに整理します。",{"title":8,"slug":9,"description":35},"https:\u002F\u002Fimages.ctfassets.net\u002Fggtw2zqmifs5\u002F6aQEDYEVAM8VyTuinmn1s7\u002Fb81284bffc50d3f3a3ebd263a5f29b07\u002Fcover-blueprint.png","https:\u002F\u002Fimages.ctfassets.net\u002Fggtw2zqmifs5\u002F3Io95YVIn5EtIWiYxOniA6\u002F70faee9e31ad3bacad8921c830bdb506\u002Fog-blueprint.png","2026-06-19T01:00:10.588Z","2026-06-19T10:00+09:00",{"title":51,"slug":52,"description":53,"author":33,"category":54,"coverImageUrl":55,"ogImageUrl":56,"createdAt":57,"updatedAt":58,"datePublished":59,"locale":40},"2026年版 Looker Studio 完全ガイド: Data Studio への再リブランドと Gemini AI まで徹底解説","looker-studio-2026","Looker Studio は Google の無料 BI ツールです。2026 年 4 月に Data Studio へ再リブランドされた背景、Gemini in Data Studio の AI 機能、Looker Studio Pro の価格、行数・パフォーマンス制約まで、2026 年時点の最新情報をまとめます。",{"title":8,"slug":9,"description":35},"https:\u002F\u002Fimages.ctfassets.net\u002Fggtw2zqmifs5\u002F37DLyUn24LWHST9pJzvVva\u002F39b004d3694746bb1f16c563fdf3af12\u002Fcover_2x.png","https:\u002F\u002Fimages.ctfassets.net\u002Fggtw2zqmifs5\u002F5TK5MoJDeQjb2Q6UWLSCwc\u002F2c0c2dd2e1b5a81c773bc1cbd2e745cb\u002Fog_2x.png","2026-05-15T00:00:10.416Z","2026-05-21T09:48:59.533Z","2026-05-15T09:00:00+09:00",{"title":61,"slug":62,"description":63,"author":33,"category":64,"urlCategorySlug":27,"coverImageUrl":65,"ogImageUrl":65,"createdAt":66,"updatedAt":67,"datePublished":68,"locale":40},"2026年版 Metabase完全ガイド: AI\u002FMetabotから価格・制限まで徹底解説","2025-metabase-bi","Metabaseはノーコードで使えるBIツールです。v0.60で OSS化されたAI\u002FMetabotの実力、ダッシュボード共有、価格体系、制限事項まで2026年時点の最新情報を徹底解説します。",{"title":8,"slug":9,"description":35},"https:\u002F\u002Fimages.ctfassets.net\u002Fggtw2zqmifs5\u002F3o48F6KexzIZknSn3ftW5s\u002F47ec01a474c4421cc95bb70267c444ce\u002FCleanShot_2025-05-30_at_20.28.56_2x.jpeg","2025-06-01T23:00:06.070Z","2026-05-07T15:35:47.144Z","2026-04-22T10:00+09:00",{"title":70,"slug":71,"description":72,"author":33,"category":73,"urlCategorySlug":27,"coverImageUrl":74,"ogImageUrl":75,"createdAt":76,"updatedAt":77,"datePublished":68,"locale":40},"2026年版 Redash完全ガイド: v26・価格・OSS BIの実力","2025-redash-oss-bi","RedashはSQL中心のOSS BIツールです。73種類のデータソース、13種類の可視化、12種類のアラート通知先、Databricks買収後の開発状況、v26.3の新機能まで、2026年時点の最新情報を実機検証でまとめました。",{"title":8,"slug":9,"description":35},"https:\u002F\u002Fimages.ctfassets.net\u002Fggtw2zqmifs5\u002F1FCDR0YNeiUTRrjBrK8is0\u002Faf29e7b31b71004d94311c89fe689c63\u002Fcover.png","https:\u002F\u002Fimages.ctfassets.net\u002Fggtw2zqmifs5\u002F3fylZxcxWJcXnpI8B1bfxm\u002Fd34b6716dbee4f1dec7789f9185df776\u002Fog.png","2025-03-07T07:06:34.659Z","2026-05-07T15:35:44.851Z",{"title":79,"slug":80,"description":81,"author":82,"category":83,"urlCategorySlug":27,"coverImageUrl":84,"ogImageUrl":84,"createdAt":85,"updatedAt":86,"datePublished":87,"locale":40},"2025年度版 Google アナリティクスを使った高度な分析方法","google-analytics-bigquery","GoogleアナリティクスのデータをBigQueryにエクスポートし、自社データと連携させた高度な分析手法について解説します。スキーマの詳細から、データの連携方法、そして顧客行動の全体像を可視化するためのテクニックまで、実践的なアプローチをご紹介します。","Naoki Shibayama",{"title":8,"slug":9,"description":35},"https:\u002F\u002Fimages.ctfassets.net\u002Fggtw2zqmifs5\u002F7Dp6JBw8WXVbL1snBH4l5Y\u002Fdfa6dd59953827f3b5772cc46ec30d92\u002Fga.jpg","2025-04-15T22:00:02.618Z","2026-05-07T15:35:49.016Z","2025-04-16T08:00+09:00"]