FlockDB是一个实时的、分布式的数据库。
因此，需要对分布式的数据进行集成，并使其可以用于进行各种各样的分析。
Therefore, distributed data needs to be integrated and made available for extensive analysis.
论文还对HLA联邦的数据采集进行了研究，设计并指导实现了集中式数据采集工具KD-DCT和分布式的数据采集接口。
We also study the data collection in the HLA federation, design and implement the centralized data collection tool, which is called KD-DCT, and the distributed data collection interface.
RDA是一个完整的解决方案，可用于简化数据建模和集成设计，使架构师能够发现、建模、可视化和关联不同的、分布式的数据资产。
RDA is the complete solution for simplification of data modeling and integration design, enabling architects to discover, model, visualize, and relate diverse and distributed data assets.
面对数据的海洋，传统的单机串行算法己经不能适应快速、实时的知识需求，研究面向多机、并行、分布式的数据挖掘模型越来越重要。
The traditional serial algorithm can't do work well for the data ocean quickly and correctly, it also important to research the parallel algorithm.
RationalDataArchitect：简化数据建模和集成设计，使架构师可以发现、建模、关联和标准化不同类型的、分布式的数据资产。
Rational Data Architect: Simplifies data modeling and integration design, enabling architects to discover, model, relate, and standardize diverse and distributed data assets.
使用这些工具，可以方便地建立分布式数据网格的基本基础设施并执行网格计算。
With these tools, it can be easy to set up the basic infrastructure of a distributed data grid and perform grid computations.
此模式实现了处理分布式数据的同步实时集成方法。
This pattern realizes a synchronous, real-time integration approach to distributed data.
客户机只知道代理，代理服务器上配置了后端分布式数据的详细信息。
Clients know only about the proxy and the proxy server is configured with the details of distributed data at the back end.
可在访问处于多个服务器实例中的数据库的子句中包含分布式查询。
You can have distributed queries inside the using clause that access databases on more than one server instance.
为了解决那个问题，OODT提供了对分布式资源的透明访问、数据恢复和查询优化功能以及分布式处理和虚拟存档。
To solve that problem, OODT provides transparent access to distributed resources, functionality for data discovery and query optimization, as well as distributed processing and virtual archives.
管理大型分布式数据集的能力是网格工作的关键方面。
The ability to manage large distributed data sets is a critical aspect of a significant grid effort.
云计算是个分布式的部署模型，因此缓存和数据访问的战略意义将达到前所未有的高度。
Cloud computing is a distributed deployment model, and for that reason, caching and data accessibility are of far greater strategic importance than before.
对频繁更改的分布式数据的实时访问：使用数据整合处理这种场景，需要对源数据进行频繁的移动和整合。
Real-time access to distributed data that is frequently changing: Addressing this scenario with data consolidation requires frequent movement and consolidation of the source data.
我们未来的计划是提供一个基于分布式缓存的数据网格解决方案。
On our future plans is a data grid solution based on a distributed cache.
businesslogicbase类具有在分布式映射缓存存储和接收数据的方法。
The BusinessLogicBase class has methods to store and receive data from the Distributed Map.
例如，WebSphereInformationIntegrator支持按照与单一数据源相同的方式访问各种分布式数据。
For example, WebSphere Information Integrator lets you access diverse and distributed data as if it were from a single data source.
无需移动到中心位置即可访问分布式数据的Information Integrator实例。
An Information Integrator instance that provides the capability to access distributed data without moving it to a central location.
在跨服务器的分布式查询中支持XML发布和增强的数据类型。
XML publishing and enhanced data type support in cross-server distributed queries.
WebSphereSensorEvents管理配置定义和分布式数据捕获环境的软件负载。
WebSphere Sensor Events manages the configuration definition and software loading of the distributed data-capture environments.
分布式存储是一种存储数据的方法，这样数据的位置就会变得不重要。
Distributed storage is a means to persist data so that the location of the data is not important.
通过移交数据对象的唯一密钥(也称为缓存密钥)，可以访问存储在分布式映射缓存中的数据。
Data stored in Distributed Map can be accessed by handing over a unique key for the data object, also called the cache key.
并且我们还需要更清楚地知道我们数据的分布式特性。
And we were also more aware of the distributed nature of our data.
在数据网格中，分布式数据的数量必须足够大才能发挥最大效益。
In a data grid, the amounts of distributed data must be large for maximum benefit.
分布式数据源数据挖掘的第一个问题是发现。
The first issue with data mining of distributed data sources is discovery.
近几年，尤其是随着服务器和数据中心整合的出现，已经出现了从分布式系统向数据中心转移的趋势。
There has been a trend in recent years away from distributed systems and toward the datacenter, particular with the rise of servers and datacenter consolidation.
在参与分布式查询的所有数据库中，各种数据类型必须定义有相同的层次结构和类型转换。
The distinct data types must have exactly the same hierarchy and casts defined in all databases participating in the distributed queries.
联合的分布式数据访问方法无需ods即可提供所需级别的数据同步。
A federated approach to distributed data access can provide the required levels of data synchronization without an ODS.
分布式、可伸缩及高可靠的数据存储将成为业界的下一个圣杯。
Distributed, infinitely scalable and highly reliable datastores are the next Holly grail of our industry.
分布式、可伸缩及高可靠的数据存储将成为业界的下一个圣杯。
Distributed, infinitely scalable and highly reliable datastores are the next Holly grail of our industry.
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