A repository that stores the legacy data.
存储遗留数据的库。
There is a lot of legacy data already in relational format.
有许多遗留数据采用关系格式。
Writing detailed documentation describing the legacy data sources.
撰写描述遗留数据源的详细文档。
We setup an IBM DB2 V9.0 server to simulate where legacy data is stored.
我们设置IBMDB2V9.0服务器来模拟遗留数据的存储位置。
However, there are good reasons why you might want to transfer legacy data.
但是，有很多的原因可以解释为什么您想要去迁移遗留数据？
The structure of the legacy data is often not documented and the data quality is poor.
遗留数据的结构往往没有文档说明，数据质量令人担忧。
Think of XI as a generic toolkit for importing your legacy data into a modern XML flow.
请把XI看作将旧数据导入最新xml流的一般工具箱。
This is to support transmission and processing of legacy data in certain languages.
这样就能够支持对使用现有语言的传统数据的传输和处理。
External stored procedures are often used to access legacy data stores and legacy application systems.
常常使用外部存储过程访问遗留数据存储和遗留应用程序系统。
To succeed at building a data warehouse we must work closely with the owners of the legacy data sources.
要成功地构建数据仓库，我们必须与遗留数据源的所有者密切协作。
Transformation of multiple, disparate, customer legacy data sources into a cohesive solution powered by soa.
将多个异类客户遗留数据源转换为SOA支持的内聚解决方案。
A great deal of legacy data is derived from daily transactions and must be maintained as part of new applications.
大量遗留数据来自于每天的日常事务，并且必须将其作为新应用程序的组成部分来进行维护。
The requirements are difficult to pin down, and significant challenges are often posed by legacy data sources.
需求很难查明，遗留数据源常常提出重大的挑战。
ZRM is typically used for green field applications, which are applications that don't have legacy data sources.
ZRM通常用于全新应用程序，即没有遗留数据源的应用程序。
If there is any integration with legacy data and services, the interfaces to those elements may also need to be modeled.
如果存在任何与遗留数据和服务的集成，对那些元素的接口也需要被建模。
In addition to the address book, I may need to process agendas, spreadsheets, cataloging information, and other legacy data.
除了通讯录，我可能还需要处理议程、电子表格、目录信息以及其它旧数据。
For a DW project your technical risks typically focus on data volume, access to the legacy data sources, and data quality.
对于DW项目，您的技术风险集中于数据量、对遗留数据源的访问和数据质量上。
Most initial assessments find that close to 15% of legacy data has some form of embedded logic or exception handling embedded in the data.
大多数初始的评估发现，将近15%的遗留数据有某种形式的内嵌逻辑或异常处理。
When using legacy data in a conceptual model, it is sometimes useful to be able to map a single entity to two tables in the database.
在概念模型中使用旧式数据时，有时可以将一个实体映射到数据库中的两个表会非常有用。
These types of strategies are generally signs that the data model should be refactored, but that may not be an option for legacy data models.
这些类型的策略常常意味着数据模型应该重构，但是遗留数据模型可能无法进行重构。
According to Inland Revenue data continuity requirements, we apply reverse engineering method to refine and inherit valuable legacy data.
对税务数据的延续性要求，采用对遗留系统的继承策略、施行逆向工程、进化接收有价值的遗留数据。
Even though the tools are available to build simple portals, the issues of integrating them with remote or legacy data sources are not trivial.
尽管出现了可以构建简单门户的工具，但是门户与远程或遗留数据源的集成问题仍然不容易解决。
This means, for example, that legacy data from disparate sources, tagged using different schemas, can be automatically reconciled and operated upon.
比方说，不同来源、采用不同方式标记的旧数据可自动协调和处理。
When you work on this task, please comment on these issues: legacy data, Web-centricity, scalability, security, and batch processing that might be needed.
当你处理这一件工作的时候，请对这些问题表示意见：传统的数据，网络为中心，可扩展性，安全性和可能需要的批次处理。
Legacy data sources are likely to require much human effort in terms of analysis and data cleansing before they can be availed to semantic modeling technologies.
对于传统的数据源来说，通常需要投入大量人力物力，进行分析和数据净化工作，然后才能将其用于语义建模技术。
You may also need to do some capacity planning with them because the extraction needs of your DW could overly stress the legacy data source, thereby requiring upgrades.
您可能还需要和他们一起做一些功能计划，因为DW的抽取需求可能过度地对遗留数据源施压，因此需要升级。
Required legacy data may not be available or perhaps cannot be captured at a sufficient level of detail, unless money and effort are spent changing the legacy input environment.
必要的遗留数据库可能不可用，或者可能无法在足够细的层次上捕获，除非花费金钱并付出努力来改变遗留输入环境。
Such dependency might not be flexible for accommodating future needs and it might lead to reengineering of the DSL whenever the legacy data sources are upgraded, rewritten, or replaced.
此类依赖关系也许无法灵活适应将来的需要，并且可能导致在每当升级、重新编写或替换遗留数据源时就需要 DSL 的再工程。
There are also system actors, external systems that your system interacts with, which in the case of data warehouse projects, would be the legacy data sources that you extract data from.
还有一些系统参与者，它们是与您的系统进行交互的外部系统，在数据仓库项目的例子中，将是您要从中提取数据的遗留数据源。
This tightly couples the legacy system with every consumer of the data.
这让数据的每个消费者都和遗留系统发生了紧耦合。
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