在通过连接器收集了相应的数据之后，整合服务器的主要任务是根据数据流规范对数据进行处理。
After the data is gathered through the connectors, the core of the consolidation server processes the data according to the data-flow specification.
通过使用扩展数据沿袭，不管您使用哪一种流程或应用程序移动或转换您的数据，都可以在整个企业中跟踪数据流。
With extended data lineage, you can track the flow of data across your enterprise, no matter which process or application is moving or transforming your data.
这些扩展模块让你能想干什么就干什么：调用图形库、数据流库，还能操作各种数据格式。
The extension modules let you do all sorts of things: communicate with graphics libraries, data flow libraries, and all sorts of file formats.
使用负载均衡功能的增强型数据传送可以检测带宽能力和优化的数据流。
Enhanced data transfer using the load balancing function can detect bandwidth capability and optimized data streams.
在设计的过程中，关键的任务是指定从数据源到目标的数据流，即如何重建并将源模型合并到目标模型中。
The key task during design time is to specify the data flow from the sources to the target — that is, how to restructure and merge source models into the target model.
人与数据库交互：他们引导数据流的走向；他们解释并处理数据请求。
People interact with databases: they direct data flows; they interpret and service data requests.
这包括分析通过每个过程的数据流，获取跨所有过程的可复用的数据集合。
This includes analyzing the data flow through each process, capturing reusable data aggregates across all processes.
为了找出数据质量问题的来源，团队在通向生产数据库的数据流中不同的位置上设置 “捕捉器”。
To find out where the data quality problems originated, a team set "traps" at various points in the data flows that led to the product database.
CDATA(字符数据)区域被解析器视为数据块，从而允许您在数据流中包含任意字符。
CDATA (character data) sections are treated as a block of data by the parser, allowing you to include any character in the data stream.
本文是一个分两部分的系列的第一篇文章，文中阐述了如何构建一个数据流，该数据流使用一个基于 XML 的源表填充两个目标数据仓库表。
This article, the first in a two-part series, illustrated how to build a single data flow that uses an XML-based source table to populate two target data warehouse tables.
数据流规范是一种特定类型的元数据。
图10显示的数据流与之相同，但该数据流是沿着可选分支而不是并行分支流动的。
Figure 10 shows the same data flow, but now flowing along alternative branches instead of parallel ones.
数据链：数据链是工作流处理器用来控制通过商业流程的数据流的机制。
Data link: the data link is the mechanism that the workflow processor USES to control the flow of data through the business process.
它将来自每个源分区的多个数据流合并成一个单独的数据流，然后将该数据流传递给指定管道。
It consolidates the multiple streams that are coming from each of the source partitions into a single stream, which is then passed to the named pipes.
在构建调用这些数据流的控制流之前，应该确认每个数据流可以正确地工作。
Before you build a control flow that invokes each of your data flows, you should verify that each data flow works correctly.
如果你希望将数据流运行在特定的线程上时通常会使用后者，比如说使用数据流操纵gui时。
The latter would be used when you want the dataflow to run on a particular thread, for example when using dataflow to manipulate a GUI.
设计ETL任务(或数据流)是将XML集成到数据仓库环境的重要方面。
Designing ETL jobs (or data flows) is an important aspect of integrating XML into data warehouse environments.
JSON 4 J可被用来将数据格式化为一个JSON数据流，它之后再被返回给客户机。
JSON4J can be used to format the data into a JSON data stream, which is then returned back to the client.
可插MIME过滤器是一个接收流的异步可插协议，执行一些数据操作并且返回数据流。
A pluggable MIME filter is an asynchronous pluggable protocol that receives data through a stream, performs some operation on the data, and returns a data stream.
为一acl数据包，可中断正常的SCO数据流。
An ACL packet, which can interrupt the regular flow of SCO data.
换句话说，某个早期阶段的输出数据流应该少于输入数据流。
In other words, the output data stream of one of the initial stages should be less than the sum of its inputs.
凡是具有能在数据流早期减少输入数据的作业(例如连接、合并、过滤和聚合)的数据整合场景，几乎都能从t - ETL处理中受益。
Almost any data consolidation scenario with tasks (such as joins, merges, filtering, and aggregations) that can reduce input data early in the data flow can benefit from T-ETL processing.
尽管这个问题总是被忽视，但在数据密集型应用程序中，数据流确实会消耗大量带宽。
While often overlooked, data flow consumes a larger share of bandwidth in data-intensive applications.
TCP基于数据包确认从对等端点控制数据流。
TCP controls the flow of data based on packet acknowledgements from the peer endpoint.
如果成功执行这个数据流，就会调用第二个数据流，它装载目标DWADMIN . holdings表。
Successful execution of this data flow causes the second data flow to be invoked, which loads the target DWADMIN.HOLDINGS table.
第6章是有关无限数据流的问题；我们不能结束这个数据流，它只会无限制地继续下去(开玩笑)。
Chapter 6 is about infinite streams; I couldn't finish it, it just went on and on (okay, joking!).
数据流系统仅关注数据如何在系统中流动，交由线程来决定如何有效利用多个核心。
Dataflow systems focus purely on how the data flows through the system, leaving it up to the thread scheduler to determine how to efficiently make use of multiple cores.
用于创建物理数据模型的图形化工具，DB 2基于SQL的数据仓库结构数据流，以及olap多维数据集模型。
Graphical tool for creating physical data models, DB2 SQL-based warehouse construction data flows, and OLAP cube models.
用于创建物理数据模型的图形化工具，DB 2基于SQL的数据仓库结构数据流，以及olap多维数据集模型。
Graphical tool for creating physical data models, DB2 SQL-based warehouse construction data flows, and OLAP cube models.
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