用数据进行实验以确定价值 - 迁移/方法？
我有大量可用数据，并且想要捕获和试验当前未在生产中使用的数据。我不想立即将其添加到我现有的数据存储中，因为这无疑会扰乱生产。明显的解决方案似乎是制作生产数据的副本并将其与我想要使用的内容（访问此数据的应用程序等）集成，但我想知道是否有更好（更便宜？）的方法这。
隔离和集成都很重要。我希望能够将轻量级/实验数据资产与大量生产数据分开，但如果实验资产被认为有用，也能够（相对）轻松地进行集成。
谢谢。
I have a LOT of data available to me, and want to capture and experiment with data that isn't currently being used in production. I do not want to immediately add this to my existing data store since that would undoubtedly mess with production. The obvious solution seems to be to make a copy of production data and integrate it with what I want to play around with (applications accessing this data ,etc), but I was wondering if there was a better (less expensive?) way to do this.
Both isolation and integration are important. I'd like to be able to keep lightweight/experimental data assets apart from high volume production data, but also be able to integrate (RELATIVELY) painlessly if experimental assets are deemed useful.
Thanks.
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我更愿意首先处理少量数据并创建生产环境的副本，然后开始处理迁移部分。
如果我在更短的时间内成功，那么其余的步骤将继续进行。
I would prefer to work on small amount of data initially to start with and create a duplicate of the production environment and then start working on the migration part.
If i am successfull, within a less time, then the same steps would be continued for the rest.