{"version":"1.0","description":"\u3053\u3093\u306b\u3061\u306f\u3001Red Hat \u306e\u5c0f\u6749\u3067\u3059\u3002 \u4eca\u56de\u306e\u6295\u7a3f\u306f\u5404 Advent Calendar \u3068\u306f\u5168\u304f\u95a2\u4fc2\u306a\u304f\u6295\u7a3f\u3044\u305f\u3057\u307e\u3059\u3002 Change Data Capture Change Data Capture \u3092\u3054\u5b58\u77e5\u3067\u3057\u3087\u3046\u304b\u3002Wikipedia \u306b\u3088\u308b\u3068 In databases, change data capture (CDC) is a set of software design patterns used to determine (and track) the data that has changed so that action can be taken using the ch\u2026","blog_url":"https://rheb.hatenablog.com/","height":"190","width":"100%","blog_title":"\u8d64\u5e3d\u30a8\u30f3\u30b8\u30cb\u30a2\u30d6\u30ed\u30b0","provider_url":"https://hatena.blog","published":"2019-12-05 08:58:44","url":"https://rheb.hatenablog.com/entry/2019/12/05/Red_Hat_Integration_-_Change_Data_Capture","provider_name":"Hatena Blog","title":"Red Hat Integration - Change Data Capture","type":"rich","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/k/kkosugi/20191205/20191205090351.png","author_url":"https://blog.hatena.ne.jp/kkosugi/","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Frheb.hatenablog.com%2Fentry%2F2019%2F12%2F05%2FRed_Hat_Integration_-_Change_Data_Capture\" title=\"Red Hat Integration - Change Data Capture - \u8d64\u5e3d\u30a8\u30f3\u30b8\u30cb\u30a2\u30d6\u30ed\u30b0\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","author_name":"kkosugi","categories":["Apache Kafka","Data Virtualization","Red Hat AMQ","Red Hat Integration","Red Hat OpenShift Container Platform"]}