哪些模型构成了数据架构？
一个电力城市的数据架构。
应用程序和数据架构遵循。
改进数据架构：数据策略。
数据架构图描述了“什么”组成了数据架构。
The data architecture map describes "what" comprises the data architecture.
数据架构有很多用途。
数据架构也许对整个企业从来不是“完整的”。
The data architecture may never be "complete" for the whole enterprise.
其中的关键主题之一就是新的数据架构的出现。
One of the key themes of the event was the emergence of new data architectures.
包含“目前”的和“将来”的模型的数据架构。
The data architecture, including both "as is" and "to be" models.
数据架构主要由下面部分介绍的四级模型定义。
The data architecture is defined primarily by models at four levels, described in the following sections.
数据架构是什么？
数据仓库-数据架构。
组成数据架构的模型将在下面的部分进行更加详细的介绍。
The models that comprise the data architecture are described in more detail in the following sections.
数据架构包括概念、逻辑和物理数据模型及其元数据模型。
The data architecture includes conceptual, logical and physical data models and its metadata models.
在很多情况下，行业标准工具并不用于项目的数据架构部分。
In many cases, industry-standard tools are not used for the data architecture portion of the project.
数据架构师开发的消息模型用于(或复用于)这些服务规范。
The message models developed by the Data Architect are used (or reused) for these service specifications.
然而，随着数据架构的成熟化，采取一些工作来“填补空白”是适合的。
However, as the data architecture matures, it may be appropriate to undertake some work to "fill in the gaps."
数据架构的管理规则和变更控制流程，由IT和适当的业务代表共同管理。
Governance rules and change control processes for the data architecture, managed jointly by it and appropriate business representatives.
自主解决方案还可以减轻数据库管理员管理复杂数据架构的负担。
An autonomic solution also reduces the burden on database administrators to manage complex data architectures.
因此，数据架构师正在评估将XML集成到数据仓库中的各种选择。
So, data architects are increasingly evaluating options for integrating XML into their data warehouses.
对企业数据架构的文档化的理解是许多公共IS和业务改进计划的必要先决条件。
A documented understanding of the enterprise data architecture is an essential pre-requisite to many common is and business improvement initiatives.
不同于书本和培训课程中所提的单例模式，真正的企业具有非常复杂的数据架构。
Unlike the simplistic models in books and training courses, a real enterprise has a very complicated data architecture.
企业数据架构如何帮助对数据进行分析性处理，以便根据需要向业务用户交付信息？
How does the enterprise data architecture help in analytical processing of data to deliver information to business users on demand?
我在软件和数据架构方面有很多经验，主要是基于Web和类web的系统方面的。
I have a long background in software and data architecture, focusing on Web-based and Web-like systems.
信息：介绍了数据架构和管理，包括SOA中的数据服务、标准数据模型等。
"Information" covers data architecture and management, including data services, canonical data models, etc. in SOA.
要获得数据架构策略和此处引用的搜索代码的完整说明，请一定要阅读本系列的第1部分。
For a complete introduction to the data architecture strategies and search code referenced here, be sure to read Part 1 of this series.
MDMServer提供了很多功能，可以解决主数据架构的认证、授权和审计需求。
MDM Server provides many capabilities to address a master data architecture's authentication, authorization, and audit needs.
服务分析模型的目的是以一种与最终数据架构相兼容的方式指导软件组件和服务的规范说明。
The goal of a service analysis model is to guide the specification of software components and services in a way that is compatible with the overarching data architecture.
企业数据架构如何通过更少的数据延迟帮助处理从事务型数据到分析型数据的转换？
How does the enterprise data architecture help in processing the transformation of transactional data into analytical data with reduced data latency?
那样最终就是像Hadoop、Mogilefs或S3一样的东西——并行数据架构。
That will end looking looking something like hadoop, mogilefs or S3 - a data parallel architecture.
应用推荐