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.
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 routine creates a copy of your existing table with the new partitioning key and loads it partially or fully with the data from the original table.
这个例程用新的分区键创建了现有表的一个副本并用来自原始表的数据对它进行部分或全部加载。
Partitioning maps are a flexible way of controlling where data is stored in a partitioned database.
分区映射是在分区数据库中控制数据存储位置的一种灵活的方式。
The data model and the business relationship between tables can provide a more stable way of selecting a partitioning key than specific SQL statements.
这个数据模型以及表间的业务关系可以提供一种比sql语句更为稳定的选择分区键的方式。
The purpose of this parameter is to improve performance and minimize the space usage when estimating data skew with new partitioning keys.
此参数的目的是改善性能并在用新分区键估算数据倾斜时最小化空间使用。
This input parameter specifies the new partitioning keys to be used in the estimation of data skews.
这个输入参数指定要被用在数据倾斜估算中的新分区键。
The idea behind partitioning is to spread a table's data across multiple partitions, storing some of its rows in one partition and other rows in other partitions.
分区背后的思想就是将一个表的数据分布在多个分区中，将该表中的一部分行存储在一个分区中，而将其他行存储在其他分区中。
These recommendations address the database schema, the choice between XML and relational storage, definition of indexes, and physical data organization with partitioning and clustering options.
这些建议涉及了数据库模式、XML与关系存储之间的选择、索引的定义以及带有分区和集群选项的物理数据组织。
Furthermore, backup and recovery times can be significantly reduced when using DPF, due to the smaller amounts of data that each partitioning machine would be dealing with.
而且，通过使用DPF，可以显著缩短备份和恢复时间，因为每台参与分区的机器需要处理的数据量更小了。
In this kind of environment, you should examine your data model to determine the best choice for partitioning keys.
在这种环境下，应该查看数据模型来决定分区键的最佳选择。
Better partitioning of implementation by factoring out extremely stable data access code from services implementations.
通过将非常稳定的数据存取代码从服务实现中分解出来，获得更佳的实现划分。
What's more, most partitioning implementations store data on the same physical machine, so you're still bound to the limits of your hardware.
更重要的是，大部分分区实现在同一个物理机上存储数据，所以受到硬件基础的影响。
The MBR partitioning system is a hodge-podge of data structure patches applied to overcome earlier limits.
mbr分区系统是一个数据结构补丁的大杂烩，用于克服早期的限制。
Note: If you do not see an even distribution of the data on the multiple nodes, that indicates that you have not identified the correct partitioning key.
注意：如果您没有看到数据均匀分布在多个节点上，那就说明您没有指定正确的分区键。
Equivalence partitioning of input data is required to identify the sets of input data that provide an equivalent behavior of the AUT (application under test).
我们需要使用等值划分来区别输入的数据，它可以提供一个AUT(被测试的应用程序)的等价行为。
The benefit of sharding (like partitioning) is that it compacts big data: individual tables are smaller in each shard, which allows for faster reads and writes, which increases performance.
切分的好处（如分区一样）在于它可以压缩大型数据：单独的数据表在每个切分中相对较小，这样就可以支持更快速的读写速度，从而提高性能。
A data partition, also referred to as a range (currently DB2 supports only a range partitioning scheme), contains a subset of rows that are stored separately from other sets of rows in the table.
数据分区也称为范围(当前DB 2只支持范围分区方案)，一个数据分区包含一个行子集，这些行存储在与表中其他行集不同的地方。
The partitioning key needs to be on a column or set of columns that are highly unique thus ensuring that the data will be evenly distributed across all the partitions that the table is defined on.
分区键需要位于高度惟一的一列或一组列上，从而确保数据均匀分布在该表所定义的所有分区上。
Database PARTITIONING - distributing data by key hash across logical nodes of the database (DPF).
DATABASEPARTITIONING——按照键散列将数据分布在数据库的多个逻辑节点上(DPF)。
Virtualization of servers in SaaS architectures is more than virtually partitioning data and configuration in multi-tenancy.
SaaS架构中的服务器虚拟化不局限于多租赁的数据和配置虚拟分区。
Columns with unevenly distributed data and columns with a small number of distinct values should not be chosen as a partitioning key.
具有分布不均匀的数据的列和具有少量distinct值的列都不应该被选作分区键。
Scalability in an ObjectGrid is achieved by means of data partitioning and resilience is achieved by the use of replication.
ObjectGrid中的可伸缩性是通过数据分区实现的，弹性是通过使用复制实现的。
Stay tuned for part 2, where you'll learn to take performance baselines, to take advantage of DB2 Workload Management, and to configure monitoring in large data partitioning environments.
请继续阅读第2部分，您将会学习在大型数据分区环境中使用性能基准测试，利用DB 2WorkloadManagement，以及配置监控。
The Extended Enterprise Edition from the DB2 product family supports data partitioning across clusters of massively parallel computers.
DB 2产品家族的企业扩展版(Extended Enterprise Edition)支持跨大规模并行计算机的群集对数据进行分区。
Despite their large size tables are actually pretty restrictive, for they only support a handful of data types are require developers to think about partitioning from the very beginning.
尽管Table Service可以支持大容量的数据，但由于只支持少量的数据类型，所以实际上还是有比较严格的限制，这就要求开发人员从一开始就需要考虑如何处理分区问题。
You can store data in different partitions in the same table of a database using table partitioning.
您可以使用表分区将数据存储在同一个数据库表的不同分区中。
A partitioning key is a column (or group of columns) that is used to determine the partition in which a particular row of data is stored.
分区键是用于确定特定一行数据存储在哪个分区的一个列(或一组列)。
Database partitioning occurs when a database consists of two or more database partitions, where each database partition stores a subset of table data for each table that resides within it.
当一个数据库由两个或更多数据库分区组成，并且每个数据库分区存储位于其中的每个表的一部分表数据时，就属于数据库分区的情况。
The partitioning key should not include a column with unevenly distributed data or with a small number of distinct values.
分区键不应该包括没有将数据均匀分布或具有少数不同值的列。
Database partitioning is an inherently relational process of dividing a table's rows by some logical piece of data into smaller groups.
数据库切分是一个固有的关系流程，可以通过一些逻辑数据块将一个表的行分为不同的小组。
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