突出的问题在于是否要将用户数据分割到多个表空间中。
The salient question is whether to split up the user data into multiple table Spaces or not.
当您把数据分割为有用片段时，如何使用数据将影响您的选择。
How you plan to use the data might influence the choices you make as you break the data into useful pieces.
您可以将数据分割在不同表格中，并将它们以特定的方式进行分组。
You can split up your data in different tables, and group them in specific ways.
它们从您正在使用的应用程序接收数据并将数据分割为一些数据包。
They receive the data from whatever application you are using and divide them into packets.
许多业务智能工具都支持关系结构，因此将频繁查询的XML数据分割成关系列是很有效的。
Many business intelligence tools are optimized to support relational structures, so shredding frequently queried XML data into relational columns can be quite effective.
将数据分割到不同的集群保证了关键性任务的高可靠性，同时还支持将Hadoop用于更为探索性和分析性的用途。
This partitioning of data into different clusters allows them to ensure high reliability for critical jobs, while still allowing the use of Hadoop for more exploratory and analytic purposes.
怎样才能分割数据以便对某些信息保密(例如，“某人X不信任某人y”)而将其它信息公之于众？
How can you partition data so some information remains private (for instance, "person X distrusts person y"), while other information is published to the world?
新的气候变化网站能使用户以三种方式(活动图表、时间轴和世界地图)形象直观地看到各种数据，并能按地区和日期加以分割。
The new climate change site allows users to visualize various data sets in three different ways (motion chart, timeline and world map), allowing for segmentation by region and date.
最大的变化是人们可以获得更多关于人和事物的数据，这使得实物资产可以作为服务进行分割和消费。
The big change is the availability of more data about people and things, which allows physical assets to be divided and consumed as services.
将大数据集分割为小片段是否很困难？为了在另一端将小片段正确地重新组装起来，必须添加多少额外信息？
How difficult is it to divide a large data set into smaller pieces, and how much information will you have to add in order to reassemble the smaller pieces together correctly on the other side?
分组交换将信息(不管是文本、图像、音频还是视频)分割成大小适当的数据块，好比邮包中的一系列信件。
Packet switching slices messages (whether text, graphics, audio or video) into suitably sized blocks of data, like a series of letters in the mail.
将包括许多执行函数的算子，例如数据聚合、联接、分割和复杂函数。
Many operators that perform functions are included, such as data aggregation, joining, splitting, and complex functions.
如何分割数据完全取决于您自己，您可以随意创建多个配置文件。
It's completely up to you how you want to split up your data; you can create as many profiles as you like.
因为产品数据已经分割到两个表中，且php和html代码已经混合，我们需要进行两个单独查询来获取产品详细信息和图像位置。
Because the product data has been shredded into two tables and the PHP and HTML code has been intermixed, we need to make two separate queries to get the product details and the image locations.
配置您的集群并优化您的配置(比如分割数据以便将其发送到各个机器)本身就是一个大课题。
Configuring your cluster and optimizing your configuration (like how to split the data so that it can be sent to the various machines) is a large topic on its own.
采购订单(PO)在关系数据库中存储为CLOB(而不分割)。
The purchase order (Po) is stored as a CLOB in the relational database (as opposed to being shredded).
我们需要分割我们的记录以便某些数据实例被用来创建模型，某些被用来测试模型以确保没有过拟合。
We need to divide up our records so some data instances are used to create the model, and some are used to test the model to ensure that we didn't overfit it.
作为演示，我们将一个小的数据库规范化(normalization)应用于上一示例，将PhoneNumber的owner字段分割到单独的person表中。
To demonstrate, let's apply a little database normalization to the previous example, splitting the owner field of PhoneNumber into a separate person table.
如果打算将镜像初始化为备用数据库或镜像数据库，那么在分割镜像之前，必须将数据库配置参数LOGRETAIN设置为RECOVERY。
The database configuration parameter LOGRETAIN must be set to RECOVERY prior to splitting the mirror if it is intended to be initialized as standby or mirror database.
分区策略必须借助功能分割或水平分区来支持底层数据库的水平扩展。
Partitioning strategies must support scaling out of the underlying databases, usually by functional segmentation or horizontal partitioning.
这个数据模型代表一个典型的场景，其中XML 数据部分被 “分割”成关系结构。
This data model represents a common scenario in which portions of XML data are often "shredded" into a relational structure.
Hadoop运行时将分割需要处理的数据(一些日志文件)并向您的集群中的每个节点分配一个数据块。
The Hadoop runtime will split up the data (log files) that needs to be processed and give each node in your cluster a chunk of data.
如果必须分割应用服务器以便只为一个数据库提供服务，那么多租户的高效率特性将进一步被折损。
And if the application servers must be divided up to service only one database, then the efficiencies of multi-tenancy are further eroded.
第二种方法是 分割数据以映射到一些关系表，这些表粗略地表示XML 数据的结构。
Second, you could shred the data to map to relational tables that roughly represent the structure of the XML data.
如前所述，使用XML数据库的价值(相对于CLOB或分割为关系数据)是改进性能，提高xml精确度，以及简化开发。
As described above, the value of using an XML database (as opposed to CLOBs or shredding into relational data) is increased performance, XML fidelity, and simplified development.
也就是说，切分不是将数据表分割成小块，而是将整个数据库分割成小块。
That is, rather than splitting up a table into smaller chunks, sharding splits up an entire database into smaller chunks.
分割镜像数据库的活动日志目录不能包含任何不属于分割镜像的日志文件。
The active log directory of the split mirror database must not contain any log file that is not a part of the split mirror.
当发生分割时，分割镜像系统上的备份将捕捉源系统上的数据库容器的状态。
The backup on the split mirror system will be capturing the state of the database containers on the source system at the time that the split occurred.
不过，这种分割方式会创建重复数据。
最后，以逗号分割的格式提供每行数据。
Finally, you supply each row of data in a comma-delimited format.
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