{"blog_title":"APC \u6280\u8853\u30d6\u30ed\u30b0","height":"190","categories":["Databricks_EN","Databricks","DAIS2024"],"provider_name":"Hatena Blog","type":"rich","author_url":"https://blog.hatena.ne.jp/ywchen/","title":"Data Warehousing Performance, Scale and Security with Databricks SQL","url":"https://techblog.ap-com.co.jp/entry/2024/06/17/105205","published":"2024-06-17 10:52:05","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Ftechblog.ap-com.co.jp%2Fentry%2F2024%2F06%2F17%2F105205\" title=\"Data Warehousing Performance, Scale and Security with Databricks SQL - APC \u6280\u8853\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>","width":"100%","author_name":"ywchen","description":"Preface Data warehousing in enterprise and mission-critical environments demands special attention to cost-efficiency and security. In our session, we delved into how Databricks SQL meets these stringent requirements. With the increase in data volume, managing OLAP (Online Analytical Processing) wor\u2026","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/a/apc_watanabe/20240607/20240607105046.png","version":"1.0","provider_url":"https://hatena.blog","blog_url":"https://techblog.ap-com.co.jp/"}