目前市场上最好学习的数据仓库工具是什么？
我即将从电气工程专业毕业。
我想学习一个数据仓库工具。考虑到我没有计算机科学学位，您建议我学习以下哪一项来帮助我推进职业生涯？
- 业务对象；
- 信息学；
- 海伯利安;
- 数据阶段
- 认知
I am graduating soon in electrical engineering.
I would like to learn a data-warehousing tool. Which of the following would you suggest I learn to help me advance my career, bearing in mind I don't have a computer science degree?
- business objects;
- informatica;
- hyperion;
- datastage
- cognos
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数据仓库正变得越来越商品化。这些产品只是工具（您列出的工具涉及非常不同的领域 - ETL 和商业智能）。
如果您想从事数据仓库工作，那么您确实需要在理论和原则方面打下坚实的基础，特别是建模哲学和仓库开发生命周期实践（以及与业务利益相关者打交道），请阅读 Inmon 和 Kimball 的文章。
通常，数据仓库与常规软件生命周期完全不同。在 DW 中，您构建系统，然后获得需求。严重地。重点是尽可能地对 DW 进行建模，将其交到用户手中，然后进行重构。
ETL 听起来很令人兴奋，而 BI 涵盖了从报告到仪表板到数据挖掘和决策支持的广泛内容，而且这些工具的功能各不相同。
我想我的观点是，学习任何特定的工具并不会真正提升你的职业生涯，除非能够勾选一个可能为你找到工作的框。职业生涯的进步来自于（并且很好地）解决人们的问题，并熟悉实现这一目标所需的尽可能多的技术、工具和技巧。
Data warehousing is becoming more and more commoditized. Those products are just tools (and the tools you list address very separate areas - ETL and business intelligence).
If you are looking to make a career in data warehousing, you really need to get a solid basis in the theory and principles - particularly modelling philosophies and warehouse development lifecycle practices (and dealing with the business stakeholders) - read Inmon and Kimball.
Typically data warehousing is completely different from regular software lifecycle. In DW, you build the system AND THEN you get the requirements. Seriously. The point is to model your DW as best you can, get it into the users' hands and then refactor.
ETL is about as exciting as it sounds, and BI spans a wide range of things from reporting to dashboards to data mining and decision support - and the tools vary in capabilities.
I guess my point is that learning any particular tool is not going to really advance your career except to be able to check a box which might get you a job. Advancing your career comes from solving people's problems (and well) and becoming familiar with as many technologies, tools and techniques as it takes to do that.