一起建數據湖嗎？

{"type":"doc","content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":"center","origin":null},"content":[{"type":"text","marks":[{"type":"strong"}],"text":"在搞數字化轉型？"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":"center","origin":null},"content":[{"type":"text","marks":[{"type":"strong"}],"text":"別搞虛的，先整個“湖”吧"},{"type":"text","text":" 。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"信息爆炸的時代，每個行業每天都在產生數以億計的數據，海量數據的獲取、整合及分析挖掘，展現出巨大的商業價值潛力。如何讓數據產生價值？首先企業需要將各類業務系統產生的數據進行彙總，其次組合不同維度從中提取有價值的信息，然後再結合業務信息，選擇合適的數據分析角度去輔助決策，產生業務價值，而業務價值帶來的業務增長又會產生新的數據， "},{"type":"text","marks":[{"type":"strong"}],"text":"因此數據產生價值是一個不斷轉化的閉環過程。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"image","attrs":{"src":"https:\/\/static001.infoq.cn\/resource\/image\/dc\/ce\/dc68c6013f3a334142e68ecac4cfb0ce.png","alt":null,"title":null,"style":null,"href":null,"fromPaste":true,"pastePass":false}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"heading","attrs":{"align":null,"level":2},"content":[{"type":"text","text":"實現數據價值閉環的第一步：給數據“安家”"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"要想實現數據價值閉環， "},{"type":"text","marks":[{"type":"strong"}],"text":"第一步需要給數據找個家--建立企業數據平臺。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"早在1990年Bill Inmon提出數據倉庫（Data Warehouse）概念和建設方法論，目的是構建面向分析的集成化數據環境，爲企業提供決策支持。數據倉庫本身並不“生產”任何數據，同時自身也不需要“消費”任何的數據，數據來源於外部，並且開放給外部應用，這也是爲什麼叫“倉庫”，而不叫“工廠”的原因。 "},{"type":"text","marks":[{"type":"strong"}],"text":"在數倉理論發展至今的30年間，越來越多企業會選用數據倉庫架構作爲數據平臺建設的標準和核心，"},{"type":"text","text":" 分層構建多維數據模型和業務模型層。下游通過ETL工具對接各類數據源進行數據整合，上游數據應用進行數據消費提供分析決策。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"image","attrs":{"src":"https:\/\/static001.infoq.cn\/resource\/image\/73\/08\/7369cf749d4214536a4364c4b8a1c808.png","alt":null,"title":null,"style":null,"href":null,"fromPaste":true,"pastePass":false}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}}]}