This distinction misses the point that it is processing and aggregation, not the mere possession of bits, that gives the data value.
这一区别忽略了一点，即赋予数据价值的是信息的处理和聚合，而不非仅仅拥有信息。
But this distinction misses the point that it is processing and aggregation, not the mere possession of bits, that gives the data value.
但这种区别忽略了一点，即正是对信息的处理和收集，而不是仅仅拥有信息，让数据有了价值。
Aggregation of data from multiple sources: This pattern is useful if the results from multiple service invocations, database lookups, and so on need to be combined into a single message.
来自多个来源的数据聚合：如果需要将来自多个服务调用和数据库查询等的结果合并成单个消息，则此模式非常有用。
It then creates a single data feed from this aggregation.
然后从这种聚合中创建单独的数据提要。
What are the business definitions of all data aggregation in the data warehouse?
数据仓库中所有数据聚合的业务定义是什么？
This is sensible if the logic to be performed clearly represents integration logic, such as data enrichment or simple aggregation.
如果要执行的逻辑明显是集成逻辑，比如数据充实或简单聚合，这将十分合乎情理。
Service aggregation can be achieved using parallel process paths and data mapping.
可以使用并行流程路径和数据映射完成服务集合。
The presentation and aggregation of data is handled outside of the process definition, and implemented through generic service calls.
数据的表示和聚合在过程定义之外处理，通过一般的服务调用来实现。
When data between two source systems or the source and the target exist at different levels of aggregation, numeric data in particular may require aggregation.
如果两个源系统之间或源与目标之间存在不同级别的数据聚合，那么数值型数据尤其需要聚合。
Logic and metadata used to define data access and aggregation can be reused across different projects.
用于定义数据访问和聚集的逻辑和元数据可以在不同的项目之间重用。
Logic on defining data access and aggregation can be reusable across different projects.
有关定义数据访问和聚合的逻辑可以在不同的项目中加以重用。
Many operators that perform functions are included, such as data aggregation, joining, splitting, and complex functions.
将包括许多执行函数的算子，例如数据聚合、联接、分割和复杂函数。
Each orchestration task is invoked asynchronously and each of them calls data aggregation tasks using synchronous strategy.
每一个复杂任务都是异步执行的，它们都会使用同步策略来调用数据聚集任务。
This element also supports hierarchal aggregation and display of data, allowing cube dimensions to be placed on rows and columns, and measuring data to be displayed at appropriate intersections.
该元素也支持等级聚合和数据显示，允许三维的行和列并且会测量数据以便使其显示在恰当的交叉点上。
The service does the rest of the job: data storage, aggregation, correlation, and visualization.
服务会完成剩下的工作：数据存储、聚集、修正和可视化。
Productivity increases can be gained within the user community by enabling self-service aggregation and integration of business data.
通过使用自助服务聚合和业务数据集成，社区用户能够提高生产力。
This involves the capture, integration and aggregation of data from various sources to provide a timely and consistent view of the state of the enterprise as well as relevant events and trends.
这牵涉到获取，集成以及聚合多个来源的数据并提供及时且一致的企业状态视图，以及相关事件与趋势。
The synchronous strategy is best suited for data aggregation.
同步策略最适合于数据聚合。
Similarly, mashups used in an enterprise are often associated with data aggregation of both enterprise data and data from public sources.
类似地，在企业中使用的混搭应用程序的数据通常聚合了企业的数据和公共数据。
The only exception is when your application has special business rules for data aggregation and ordering that HQL doesn’t support.
当你的应用程序对数据聚合和排序有HQL不支持的特定业务规则时除外。
This scenario involves a combination of the two previously described examples, having an aggregation of data from multiple sources embedded within a batch processing aggregation.
此场景包括以前描述的两个示例的合并，并让来自多个来源的数据聚合嵌入到批处理聚合中。
The aggregation activity implements data aggregation rules which, before CCMS data is updated, take in consideration the source of the data for each data group in the customer record to be updated.
聚合活动实现数据聚合规则，该规则会在更新CCMS数据前对要更新的客户数据中每个数据组的数据的来源进行考虑。
Scenario 1: Aggregation of data from multiple sources.
场景1：来自多个来源的数据聚合。
The aggregation and association of disparate data in a common view to provide unique value are the cornerstones of mashups.
在同一个视图中聚合和关联不同的数据，从而产生独特的价值，这是mashup 的基础。
Looking in CVMglobals, you will find that it is an aggregation of system global data structures.
看下CVMglobals，你会发现它是一个系统全局数据结构的集合。
ParallelArray offers a nice way to declaratively specify filtering, processing, and aggregation operations on data sets, while also facilitating automatic parallelization.
ParallelArray提供了一种不错的方法，可用于声明性地指定数据集上的筛选、处理和聚合操作，还方便自动并行化。
Most of the methods in this class simply describe various aspects of the aggregation, such as data type, title, and description information, to show up in the BIRT Aggregation widget drop-down list.
此类中的大部分方法只是简单描述要在BIRTAggregation Widgets下拉列表中显示的聚合的各个方面，比如数据类型、标题和描述信息。
Data retrieval characteristics including reference data, read-only data, read groups, read size, searching criteria, and data grouping and aggregation.
数据获取特性包括引用数据(referencedata)、只读数据、读分组(read group)、读取大小、搜索条件以及数据分组和聚合。
This allows the consumer to not have to query/access multiple data sources and perform the aggregation.
这让消费者不需要查询、访问多个数据源和执行聚合就可以得到自己想要的信息。
This allows the consumer to not have to query/access multiple data sources and perform the aggregation.
这让消费者不需要查询、访问多个数据源和执行聚合就可以得到自己想要的信息。
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