5分钟看完企业数据挑战的简史

{"type":"doc","content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"strong"}],"text":"本文最初发布于hassenchaieb.com网站，经原作者授权由InfoQ中文站翻译并分享。"}]},{"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":"如今，数据生态系统正在蓬勃发展，流行名词随处可见，每天都有新产品面世发布。身在其中的人们很难看清“庐山真面目”。"}]},{"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":"在这篇文章中，我会退后一步，试着解读当前生态系统的源头。为什么我们拥有如此众多的产品，它们在现代企业中又各自适合哪些位置？当然，我会做很多简化。实际上，每家公司都是独特的，有着自己独有的需求。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"heading","attrs":{"align":null,"level":2},"content":[{"type":"text","text":"2000年代初：互联网的崛起和数据量的增长"}]},{"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":"随着互联网的兴起，企业不得不处理越来越多的数据源。公司数据被存储在许多各自不同的关系数据库中。这让公司无法快速获得关于客户、销售等领域的数据分析结果和可行见解。"}]},{"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":"一种解决方案是数据仓库，它将所有彼此孤立的关系数据库整合到一个单一的事实来源中，用来提供客户数据的360°全景视图。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"image","attrs":{"src":"https:\/\/static001.infoq.cn\/resource\/image\/4e\/e5\/4ebae839010e8cyy48e120af15e848e5.gif","alt":null,"title":"","style":[{"key":"width","value":"75%"},{"key":"bordertype","value":"none"}],"href":"","fromPaste":false,"pastePass":false}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"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":"然后，许多大型科技公司开始收集海量数据，因此需要全新的数据存储和处理方式。这些工作再也不是单台计算机可以应付的了。2006年，Hadoop诞生。"}]},{"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":"Hadoop是一组软件工具，可对庞大的数据集进行分布式处理（多台计算机）。"}]},{"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":"接下来，许多工程师离开了这些巨型公司，开始了自己的大数据创业，并获得了风险投资的资助。到2010年，大数据热潮来临。"}]}]}