(这个阶段将把XML结构的数据转换成表结构数据)。
This stage will transform the hierarchical XML data about accounts into a tabular result structure.
此外，通过使用行业标准的“星型模式”(star schema)而不是更规范化的表结构，数据仓库经过了优化以实现高效的查询和快速的响应时间。
In addition, by using an industry standard "star schema", rather than a more normalized table structure, the data warehouse is optimized for efficient queries and quick response times.
为了支持类似哈希表的数据结构和像分组这样的查询操作，由LINQ创建的匿名类型必须提供稳定的哈希码。
In order to support data structures like hash tables and query operations like grouping, anonymous types created by LINQ must provide stable hash codes.
对于每个正在运行的进程，虚拟地址与物理地址之间的映射是在一个称作页表的数据结构中维护的。
For each running process, the mapping between virtual and physical address is maintained in a data structure called the page table.
这样一种应用程序场景的突出示例是SAP系统，其在表的内部结构中存储数据。
A prominent example of such an application scenario is SAP systems, which store data in an internal structure of tables.
在 Lua 中，表是用来保存所有数据的结构。
实际上，表是Lua中惟一的数据结构。
注意，在创建具有xml列的表时，并不指定XML数据的内部结构。
Note that the internal structure of the XML data isn't specified when creating a table with an XML column.
IXF是一种二进制格式，不但包含数据，还包含对应表结构的信息。
Where IXF is a binary format that contains not only the data, but also information about the corresponding table structure.
这意味着消息必须包含结构信息，以允许服务连接来自不同表的数据。
This means that the messages must contain the structural information to allow the service to join data from separate tables.
表中的每行标识了一个数据结构，它们都带有一个包含大量子对象的潜在容器对象。
Each row in the table identifies a data structure with a potential container object that has a large number of child objects.
第二个表DataStructureswithLargeDropsinReach Size列出了主要堆转储上由单个转储分析标识的数据结构。
The second table, Data Structures with Large Drops in Reach Size, lists data structures identified by the single dump analysis on the primary heap dump.
包含简单编码结构（如含有动态数据的表循环）的能力形成了大多数动态Web页面的主干。
The ability to include simple coding structures, such as looping for tables with dynamic data, forms the backbone of most dynamic Web pages.
程序需要快速地访问这些名字，所以哈希表是理想的数据结构。
The program needs to access these names very quickly, so a hash table is the preferred data structure.
相同的结构(表架构、关系和约束)和数据。
With the same structure table schemas, relations, and constraints and data as this.
不论出处如何，当术语表模型在RDA 中时，就可以将标准业务术语映射到规范化（概念/逻辑）数据模型的形式化结构。
Regardless of its origin, the presence of a glossary model in RDA enables mapping of standard business terms into the formalized structures of the canonical (conceptual/logical) data model.
这个表也很简单，在SQL中创建结构使用的数据定义语言(DDL)如清单4所示。
It's also pretty simple, and the data definition language (DDL), which is the language you use to create structures in SQL, is in Listing 4.
表空间是一个包含表、索引、大对象和长数据的存储结构。
A table space is a storage structure containing tables, indexes, large objects, and long data.
所以，要构建一个非阻塞的链表、树或哈希表，需要找到一种方式，可以用CAS更新多个指针，同时不会让数据结构处于不一致的状态。
So to construct a nonblocking linked list, tree, or hash table, we need to find a way to update multiple Pointers with CAS without leaving the data structure in an inconsistent state.
垂直分区是一种以垂直方式分割数据表结构的优化方法。
Vertical Partitioning is the act of splitting your table structure in a vertical manner for optimization reasons.
该过程以一个表的全限定名称作为输入参数，并设置必要的数据结构，以便将这些数据结构传递给api函数。
The procedure takes the fully-qualified name of a table as input parameter and sets up the necessary data structures that are passed to the API function.
数据建模师使用术语表浏览器创建新的UML结构并对现有的UML结构分类。
Data modeler USES the glossary browser to create new UML structures and to classify existing ones.
希望这个工具能对您有所帮助，并为您在如何使用XML和xslt样式表通过各种有用方法来操纵结构化数据方面提供一些建议。
We hope you find the tool useful, and that it will give you some ideas about how to use XML and XSLT style sheets to manipulate structured data in a variety of useful ways.
在这里非常适合使用表这种数据结构。
我们在本文的一开始就提到过，提要源信息可以在程序数据结构中、数据库表中或一个文件中指定。
As discussed at the beginning of this article, feed sources information can be specified in the program data structures, in a database table, or in a file.
传统的应用程序将“结构化数据”存储在表中。
Conventional applications store "structured data" in tables.
只要可能应尽量使用FOAF这类通用本体，公共的结构和词汇表有助于数据的集成。
Use popular ontologies like FOAF whenever possible because common structures and vocabulary will facilitate data integration.
表2列出了您可以轻松标记为结构化数据的较为常见的信息类型。
Table 2 lists the more common information types that you can easily mark up as structured data.
为了给全部这些数据提供一些结构，Google使用了大表。
To provide some structure to all that data, Google USES BigTable.
在分析过程中，我定义了一个简单的数据结构(以及相应的xml词汇表)用于文件的描述。
During the analysis, I defined a simple data structure (and corresponding XML vocabulary) for a file description.
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