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.
给出了模型数据的存储结构以及模型信息的重组算法。
The storage structure for model data and a reorganization algorithm for the model were provided.
数据的存储结构是影响GIS系统效率的最主要因素。
The structure of data storage is the central factor that affects the efficiency of GIS.
并对数据库中动态数据、静态数据和任务数据的存储结构分别进行了讨论。
The storage structure of dynamic data, static data and mission data are discussed respectively, too.
通过研究稀疏数据的应用场景，分析稀疏数据的存储结构特点，给出稀疏数据库常见的数据模型。
Then we investigate sparse data scenarios such except OLAP, analyze the storage structure characteristics of sparse data and give three common data models in the sparse database.
第二，我们将直接在位于数据库根的键下面存储然后删除一些简单的值和数据结构。
Second, we will store and then delete some simple values and data structures directly under keys at the database root.
它们还可以存储结构化类型的列或索引数据。
如果你打算存储更加结构化的数据，你有一堆选项可用。
If you are looking to store more structured data, you have a couple of options.
这是一个重要的目标，因为一个企业中的大部分数据都不是结构化的，不能存储在常规的RDB中。
This goal is an important one, since most of the data in an enterprise is not structured and cannot be stored in a normal RDB.
CAS 将数据存储为有类型的结构，类型系统定义了类型以及类型之间的关系。
The CAS stores data as typed feature structures, and the typesystem defines the types and their inter-relations.
UDDI基类构成了UDDI注册中心存储的通用数据结构。
The UDDI base classes form the general data structures that the UDDI registry stores.
这使DB2 可以将输入的XML数据存储为原生的层次结构格式。
This causes DB2 to store input XML data in its native hierarchical format.
利用protocolbuffers，你对需要存储的数据结构编写一个。proto描述文件。
With protocol buffers, you write a.proto description of the data structure you wish to store.
存储数据：更为普通的列表结构。
我们将Clojure数据结构用作通信和存储的中间表示。
We use Clojure data structure literals as both intermediate representation for communication, and for storage.
这些根参考本质上是全局的。用来存储被称为根堆(root stacks)的数据结构。
These root references are essentially globals, and are usually stored in data structures called root stacks.
如果您有一个能够存储半结构化数据的解决方案，那么也能用它存储结构化和非结构化数据。
If you have a solution that lets you store semi-structured data, you can also use it to store structured and unstructured data.
在本例中，我创建了一个散列表的数组——用来存储这类结构式数据的一种常见方法。
In this case, I create an array of hash tables — a common method to store structured data such as this.
这些数据库位于全世界的研究中心，每个数据库具有自己的独特存储结构、访问接口和通信协议。
These databases are hosted in research centers around the world, each with its own unique storage structure, access interface, and communication protocol.
这些文档的物理结构—兄弟元素的次序、数据是存储在属性中还是在PCDATA元素中、是否使用实体—往往是不重要的。
Their physical structure — the order of sibling elements, whether data is stored in attributes or PCDATA-only elements, whether entities are used — is often unimportant.
在这部分我们关注的是本地对象和结构化数据存储。
The part of this we will focus on here is the local object and structured data storage.
大多数数据将会存储于大型遗留或打包的系统中，数据结构的细节对于这些系统来说可能是不可见的。
Most of the data will be held in large legacy or package systems, for which the details of data structure may be unknown.
使用对象包装器的另一个好处是，它们可以以自然的对象层次结构表达关系表中存储的数据，从而捕捉数据之间的关系。
Another benefit of having object wrappers is that they can present data stored in relational tables in a natural object hierarchy that captures the relationship between the data.
名称服务数据库中的绑定信息存储在称为塔的数据结构中。
The binding information in the name server database is stored in data structures called as towers.
将任意的结构化数据存储到关系数据库总是麻烦的。
Storing arbitrary structured data in a relational database will always be tricky.
S3主要适用于文件存储，虽然它为图片和CSS样式表的低成本存储提供了一个不错的选择，但在存储关系型数据和结构化数据上它不是一个好的选择。
S3 is primarily geared towards file storage so although it makes a good choice for cheaply hosting images and CSS stylesheets, it's a not a good choice for storing relational or structured data.
这是之前的rdb无法做到的，rdb一般是通过将XML数据放进特定的表结构中来存储XML数据，而且只是简单地将数据作为大型字符串来处理。
This is in contrast to previous RDBs, which usually stored XML data by fitting it into a specified table structure, and simply handling the data as a large character string.
它们在特定的底层数据结构上有区别，但这些结构体在语法上一致的，存储完全相同的信息。
They differ in specific low-level data structures, but they are semantically identical, storing the exact same information.
然后，可以根据时效和访问策略，通过人工手动或自动化数据转移程序，将数据——主要是非结构化的数据——转移至云存储中。
Data — mostly unstructured — could then be relegated to the cloud, either manually or with an automated data mover based on aging and access policies.
如前所述，DB 2提供了为xml列中存储的结构数据创建关系表示的功能。
As described earlier, DB2 provides the capability to create relational representation of hierarchical data stored in XML columns.
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