Transformation Extender can also support advanced transformation requirements, such as efficient processing of large data records or messages, and advanced data validation without complex coding.

Transformation Extender还支持高级的转换需求，例如大型数据记录或消息的高效处理，以及无需复杂编码的高级数据验证。

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This type of unstructured data continues to grow unabated, making the efficient processing of it critical to the continued success of business analytic processing systems.

这种非结构化类型的数据的增长势头有增无减，因此高效地处理它对于商业分析处理系统的持续成功至关重要。

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For example, with typical page sizes of 8 KB or 16 KB, in-page processing is inherently sequential and less CPU-efficient than random data access.

例如，对于典型的8 KB或16 KB的页面，页内处理天性是连续的，CPU效率低于随机数据访问。

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The rise of new hot technology like energy efficient processing, big data, cloud computing, and mobile computing is causing a revamp of how companies and people use computing.

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