Deriving benefits from storing data in RDF.
以rdf格式存储数据的好处。
Each node storing data will have a datanode daemon running.
每个存储数据的节点运行一个datanode守护进程。
Web developers have struggled with storing data on the client for ages.
Web开发人员多年来一直在尝试将数据存储在客户机上。
Stacks are used for storing data accessed in Last in, First Out (LIFO) order.
堆栈用于按照后进先出(LIFO)的顺序存储数据。
Since DB2 8.1, DB2 has supported two row formats when storing data in tables.
从DB2 8.1 开始，将数据存储到表中时，DB2支持两种行格式。
This is because storing data in files is the universal way to store data in a system.
这是因为将数据存储在文件中是在系统中存储数据的通用方法。
Buffer Cache - Memory allocated for storing data blocks read from physical data files.
缓冲区缓存——为存储从物理数据文件读取的数据块而分配的内存。
Consider other choices than the session for storing data created and used by a portlet.
请考虑使用会话之外的其他选择，将其用于存储Portlet创建和使用的数据。
You should create one or more USER temporary table spaces for storing data of temporary tables.
您应当创建一个或多个USER临时表空间来存储临时表的数据。
This article also covered the basic data types you can use for storing data in a Derby database.
这篇文章还介绍了可以用来在Derby数据库中保存数据的基本数据类型。
By storing data as RSS, you make it possible to use RSS aggregators and readers to access that data.
通过将数据存储为rss，可以使用RSS聚合器和阅读器访问数据。
A side queue is a simple, quick, and effective mechanism for storing data, and has these advantages.
对于存储数据而言，附加队列是一种简单、快捷并且有效的机制，并且它具有以下优点。
Be aware of this when using sessions for storing data that may be sensitive or not easily recoverable.
在使用会话存储敏感或不容易恢复的数据时，要意识到这一点。
Each SharedObject instance has a data property that can be thought of as a hashtable for storing data.
每个SharedObject实例都有一个数据属性，可以看作存储数据的哈希表。
So, storing data and getting results is easy, but how do you know what data to store, and where to store it?
看起来存储数据和获取结果很简单，但是如何知道要存储什么数据，应该存储在什么地方呢？
A related advantage of storing data in a database is that doing so enables multiple views of the same content.
将数据存储在数据库中带来的另一个好处是，支持相同数据的不同视图。
What he means by this is that when storing data in the cloud there should be some sort of built in redundancy.
他这句话的意思是说，当你向云里存数据的时候应该有某种内建的冗余方式。
If the memory cache is used only for performance reasons, then storing data in memory cache might not be such a big problem.
如果只是由于性能方面的原因而使用内存缓存，则在内存缓存中存储数据可能不会是个大问题。
Customer installations are running on a variety of hardware and operating systems, as well as storing data in multiple RDBMS.
客户系统安装在各种硬件和操作系统上，数据也可能存储于各种RDBMS中。
Text files are impractical for storing data in a Web-based application like this because of the high-level concurrency potential.
对于与本文中类似的基于Web的应用程序来说，使用文本文件存储数据的做法并不实用，因为极有可能会出现并发访问的情况。
The applications that access the storage system interface with the virtual system, rather than storing data to the disks directly.
访问存储系统的程序会与虚拟机系统进行通讯，而不是将数据直接存储到硬盘上。
If a session did not exist before, it is probably not appropriate to create one in a portlet just for the purpose of storing data in it.
如果之前不存在会话，仅为了在其中存储数据而在Portlet中创建一个会话，可能并不合适。
The two core components are the Hadoop Distributed File System for storing data and Hadoop MapReduce for writing parallel-processing jobs.
其中两个核心组件是用于存储数据的HadoopDistributedFile System (Hadoop分布式文件系统)和用于写入并行处理任务的HadoopMapReduce。
Terry Jones of cloud data service Fluidinfo wanted users to be involved; "We as normal people are using apps and they're storing data on our behalf."
云数据服务商Fluidinfo的特里·琼斯希望用户能参与进来；“我们就像普通人一样在使用这些应用程序而它们在以我们的名义储存数据。”
PropertiesGroupId specifies the runtime group ID in an SQL management repository to use when retrieving data or storing data to an SQL management repository.
propertiesGroupId指定在检索数据或将数据存储到SQL管理存储库时要使用的SQL管理存储库的运行时组id。
For instance, a servlet storing data entered into a Web form or an address book application running on a PC does not need to communicate with other processes.
例如，用于存储输入在Web表单中的数据的servlet，或者在PC上运行的地址簿应用程序，它们不需要与其他进程通信。
One common means of storing data, called an array, is very easy to split in two; but combining two arrays requires copying the contents of both into a new array.
常用的数据存储方法是数组，它很容易被一分为二的，但是合并两个数组则需要把两部分都拷贝到一个新的数组中（对内存有很大的要求）。
While the RDBMS provides a rock-solid foundation for storing data in traditional client-server architectures, it doesn't easily (or cheaply) scale to multiple nodes.
尽管RDBMS为在传统的客户端-服务器架构中存储数据提供了一个坚实的基础，但它不能轻松地(或便宜地)扩展到多个节点。
Rather than storing data into a rigid schema of tables, rows, and columns, joined by relationships, documents are written individually, containing whatever data they require.
而不是将数据存储到刚性模式的表、行和列中，通过关系加入，文档被单独编写，包含它们需要的任何数据。
Rather than storing data into a rigid schema of tables, rows, and columns, joined by relationships, documents are written individually, containing whatever data they require.
而不是将数据存储到刚性模式的表、行和列中，通过关系加入，文档被单独编写，包含它们需要的任何数据。
应用推荐