To scale search and indexing operations, you can deploy multiple instances of the index data service to different servers.

要缩放搜索和索引操作，您可以将多个索引数据服务实例部署到不同的服务器。

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While the RDBMS provides a rock-solid foundation for storing data in traditional client-server architectures, it doesn't easily (or cheaply) scale to multiple nodes.

尽管RDBMS为在传统的客户端-服务器架构中存储数据提供了一个坚实的基础，但它不能轻松地(或便宜地)扩展到多个节点。

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WebSphere eXtreme Scale operates as an in-memory data grid that dynamically caches, partitions, replicates, and manages application data and business logic across multiple servers.

可以将WebSphere eXtreme Scale作为一个内存中的数据网格来操作。 它能跨多个服务器动态缓存、分区、复制和管理应用数据与业务逻辑。

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Also reliably, with built in resilience eliminating the need to keep multiple copies of data, as is the case with Internet-scale Hadoop deployments.

FORBES: How Hadoop Makes Short Work of Big Data