When data has an object structure, the trade-offs are reversed: Writing efficient and maintainable code comes at the cost of efficient data access, storage, and scalability.

当数据具有对象结构时，上述关系恰好相反：编写高效的、可维护的代码要以牺牲数据访问、存储和可扩展性方面的高效性为代价。

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When data has a relational structure, data access, storage, and scalability are very efficient, but writing efficient and maintainable code becomes more difficult.

当数据具有关系结构时，其在数据访问、存储和可扩展性方面会非常高效，但编写高效的、可维护的代码则变得非常困难。

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The answer: The cloud, the various data access, storage and hosting services available remotely over the Internet.

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In a data warehouse, the main mode of access is a relational database storage paradigm, in which the structure of the data was predetermined at the time the database was designed.

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Enterprise servers, the kind server that dominates IT department purchasing today, have dedicated storage and data center network access on each motherboard.

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