一起建数据湖吗？

{"type":"doc","content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":"center","origin":null},"content":[{"type":"text","marks":[{"type":"strong"}],"text":"在搞数字化转型？"}]},{"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":"别搞虚的，先整个“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":"信息爆炸的时代，每个行业每天都在产生数以亿计的数据，海量数据的获取、整合及分析挖掘，展现出巨大的商业价值潜力。如何让数据产生价值？首先企业需要将各类业务系统产生的数据进行汇总，其次组合不同维度从中提取有价值的信息，然后再结合业务信息，选择合适的数据分析角度去辅助决策，产生业务价值，而业务价值带来的业务增长又会产生新的数据， "},{"type":"text","marks":[{"type":"strong"}],"text":"因此数据产生价值是一个不断转化的闭环过程。"}]},{"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":"实现数据价值闭环的第一步：给数据“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":"要想实现数据价值闭环， "},{"type":"text","marks":[{"type":"strong"}],"text":"第一步需要给数据找个家--建立企业数据平台。"}]},{"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提出数据仓库（Data Warehouse）概念和建设方法论，目的是构建面向分析的集成化数据环境，为企业提供决策支持。数据仓库本身并不“生产”任何数据，同时自身也不需要“消费”任何的数据，数据来源于外部，并且开放给外部应用，这也是为什么叫“仓库”，而不叫“工厂”的原因。 "},{"type":"text","marks":[{"type":"strong"}],"text":"在数仓理论发展至今的30年间，越来越多企业会选用数据仓库架构作为数据平台建设的标准和核心，"},{"type":"text","text":" 分层构建多维数据模型和业务模型层。下游通过ETL工具对接各类数据源进行数据整合，上游数据应用进行数据消费提供分析决策。"}]},{"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}}]}