当关系数据库试图在一个单一表中存储数TB的数据时，总性能经常会降低。
When relational databases attempt to store terabytes of data in single tables, overall performance typically degrades.
为了应用预测分析，您首先需要预处理从SAP应用程序中提取出来的原始数据，以便创建包含所有相关信息的单一表。
To apply predictive analytics, you first need to pre-process the raw data extracted from the SAP application, to create a single table that contains all relevant information.
但我们却不能如此，因为 Rails 模型将会在单一表中拥有我们所有对象模型的实质内容，这不是一个可行的解决方案。
We can't, because the Rails model would have the meat of our object model in a single table, and that's not a realistic solution.
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