DPF can be useful for read-intensive workloads, including those common to data warehouse environments.

DPF对于以读操作为主的工作负载很有用，包括数据仓库环境中常见的工作负载。

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Compression is especially valuable for read-intensive applications, on systems with enough RAM to keep frequently used data in memory.

压缩对于以读为主的应用程序更有价值，因为这样能够使得系统有足够的内存把频繁使用的数据都保持在内存里。

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If access to the source database is unreliable, striving for resiliency in the cache layer might improve overall stability for read-intensive applications.

如果对源数据库的访问不可靠，在缓存层争取弹性可能会提高读密集型应用程序的总体稳定性。

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