By querying a feed from Bigtable, we are really just using Bigtable as another caching layer.
通过查询Bigtable中的提要，实际上使用了Bigtable作为另一个缓存层。
Directly using SQL makes caching problematic, since the caching layer must deal with full result sets rather than single database rows.
直接使用SQL会使缓存出问题，因为缓存层必须处理完整的结果集，而不是单独一个数据库行。
This caching layer optimizes access to the physical devices by keeping data around for a short time (or speculatively read ahead so that the data is available when needed).
这个缓存层通过将数据保留一段时间(或者随即预先读取数据以便在需要是就可用)优化了对物理设备的访问。
It's a distributed memory caching system which Facebook (and a ton of other sites) use as a caching layer between the web servers and MySQL servers (since database access is relatively slow).
它是一个分布式的内存缓存系统，Facebook(包含其他很多网站)用它作为Web服务器和MySQL服务器之间的缓存层(因为数据库访问相对比较慢)。
Developers must write code to implement the data access layer, including optimizing SQL queries, caching results to optimize performance, without compromising an application's footprint.
开发人员必须编写代码来实现数据访问层，包括优化SQL查询、缓存结果以优化性能，而不会损害应用程序的规模。
JDBC 3.0 frees the developer from this concern because the data source layer is now responsible for caching prepared statements.
JDBC 3.0让开发人员不再为此担心，因为数据源层现在负责为预备语句进行缓存。
An ADC is ideally poised to perform content caching because it is usually parsing the headers anyway — assuming that it is configured to operate in layer 7 mode rather than layer 4 mode.
ADC是执行内存缓存的理想选择，因为它通常能够始终解析报头（假设其配置为采用7层模式而非 4 层模式操作）。
Data layer - File system | Database | Caching system.
数据层—文件系统|数据库|缓冲系统。
Data layer - File system | Database | Caching system.
数据层—文件系统|数据库|缓冲系统。
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