问题：将数据获取与业务流程相连接
位置跟踪数据获取和流程。
数据获取只是5%的工作。
此后，数据获取、缓存和刷新都是自动处理的。
After that, data retrieval, caching and refreshes are handled automatically.
数据获取及表示必须同现有业务流程整合起来。
Data capture and presentation must be integrated with existing business processes.
从数据源检索数据的过程称为数据获取。
The process of retrieving data from a data source is known as a data fetch.
数据获取、验证和处理的流程不论在哪都应是自动的。
Processes for data capture, validation, and processing should be automated wherever possible.
信息：管理多个数据源并从数据获取商业价值。
Information: Managing multiple data sources and harvesting business value from the data.
我们将在下面的遗留的转化部分讨论更多关于数据获取的内容。
We will say more about data harvesting in the Legacy transformation section below.
包含大量引用的ClearQuest记录区域的有效数据获取。
Efficient data fetching for ClearQuest record fields that contain large number of references.
这些代码能从事件数据获取PID字符串和ITEMTYPE名称。
This code obtains the PID string and ITEMTYPE name from the event data.
数据存储库存储所有的集成业务数据，它是数据获取ETL过程的最终目标。
The data repository module stores all integrated business data, it is the final target of data acquisition ETL process.
本地的OLAP报表方法分为两个简单的步骤：元数据和数据获取。
The local approach to OLAP reporting is broken down into two simple steps: metadata and data fetch.
它们支持所有操作，上至 bucket 操作，下至元数据获取。
They support all the operations, from bucket operations down to item metadata retrieval.
数据获取和动态文档生成通常是企业应用程序的关键元素，可能是艰难的挑战。
Data capture and dynamic document generation are often critical elements of enterprise applications, and can present difficult challenges.
但内部细节对查询数据获取(之后也有数据存储)的客户对象是隐藏的。
But the gory details are hidden from the client objects requesting data retrieval (and later, data storing).
数据获取：用于获得、清洗、转换和集成数据的ETL(提取、转换和装入)过程。
Data acquisition: ETL (Extraction, Transformation, and Loading) processes to acquire, clean, transfer, and integrate data.
与许多网站一样，“315投诉网”依靠广告和出售消费者投诉的分析数据获取利润。
Like many websites, 315ts.net generates its income from advertising and selling data analysis of its customer complaints.
除了将数据获取与现有流程合并之外，公司必须将应用程序与资源连接，将它们用于构建新服务。
In addition to merging data capture with existing processes, companies must be able to connect applications and resources, using them as building blocks for new services.
有了这些对象，你的程序可以在不同的数据存储系统和数据获取方法中使用一致的接口。
The advantage here is your app can have a pretty consistent interface over different data storage and retrieval approaches.
无论您制定什么样的解决方案，保持数据的可用性直到不再需要是避免冗余数据获取的关键。
Whatever solution you devise, having the data available until it is no longer needed is key to avoiding redundant data fetching.
目前，BigTable正在为Google六十多种产品和项目提供存储和结构化数据获取的支撑平台。
BigTable is now used by over sixty Google products and projects as the platform for storing and retrieving structured data.
SOS硬件是灵活的数据处理和控制体系结构，能够无缝集成多传感器以实现高速的数据获取、处理以及通信。
The SOS hardware is a flexible data processing and control architecture that can seamlessly integrate multiple sensors to achieve high-speed data acquisition, processing, and communication.
这样，智能文档承担两种职责：它们将数据获取与业务流程相整合，并且通过确认提高了数据的精度。
This way, intelligent documents do double-duty: they integrate data capture with business processes and improve data accuracy through validation.
使用该插件，表单开发人员可以构建并维护通过有效性验证的数据获取解决方案，并且添加公共的数据源。
Using the plugin, form developers can build and maintain data capture solutions that read from, validate against, and add to corporate data sources.
在业务分析和设计过程中，你应该将不同数据获取或修改分组放到不同的领域对象实体中，而不是使用这种抓取策略。
During business analysis and design, you should put different data retrieval or change groups into different domain entities instead of using this fetching.
确保所选择的平台可以有效地支持任选数据处理的延迟，不管是批处理，类实时，还是变更数据获取及实时。
Make sure that the chosen platform can effectively support any latency of data processing, be it batch, near real-time or change data capture and real-time.
CAI调用业务组件处理程序initdeserializeinstance方法来为业务组件数据获取一个目标。
CAI calls the initDeserializeInstance method of the business component handler to get a target for the data of the business component.
法庭取证时，调查人员通常会使用数据获取技术，这种技术通过电脑上的USB接口或并口来复制硬盘上的内容。
Those investigators typically use data-acquisition techniques that rely on replicating a drive via USB or a parallel port.
比方说，通过关注数据获取或有效性验证，你能为潜在的解决方案构建原型并进行测试，从而找出适合你的情景的最好的方法。
For example, by focusing on data access or validation, you can prototype and test potential solutions to figure out the best approach for your scenario.
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