August 2022
Beginner to intermediate
463 pages
9h 22m
Chinese
Content preview from Tableau Prep即学即用
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9
第
1
章
为何需要自助式数据准备
随着每个组织都在数据湖、数据容器和数据仓库中游走，他们的员工从来没有过如
此巨大的机会，可以用信息来回答他们的问题，而不仅仅依赖他们的经验和直觉。
这与十年甚至更久之前的组织所处的状况并没有什么区别。不同之处仅仅在于，谁
想获得这些数据来回答他们的问题。人们不再期望由企业的一个单独的职能部门来
负责获取这些数据，现在每个人都觉得自己应该能够获取这些数据。那么，发生了
什么变化呢？结论是自助服务的数据可视化。即将发生的什么改变能使得业务更上
一层楼？结论是自助式的数据准备。
1.1
自助式数据可视化简史
十多年前，所有与数据有关的事情都是专业团队所从事的领域。数据项目由商业智
能（
BI
）团队或信息技术（
IT
）团队负责，他们建立数据基础设施项目，以编制数
据报告。这是一个昂贵而耗时的过程，往往导致各方人员都觉得产品未达到预期。
这种方式行不通的原因是
BI
的迭代性。人类从根本上说是一种聪明的动物，他们喜
欢探索一个问题、喜欢学习，然后在他们更感兴趣的时候提出更多的问题。人类也
很善于发现可视化的模式，并将数据集绘制成图表来帮助寻找这些模式。在传统的
IT
或
BI
项目中，一旦交付了第一份分析报告，项目就结束了。最初的问题得到了回答，
但由于做数据分析的人与提出问题的人不同，因此所有的后续问题根本没有答案，
或者答案是从不同的数据报告或不同层次的数据汇总中拼凑出来的。
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.