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。
In my last column, I explained how you can use table partitioning to organize data across multiple storage objects based on values in one or more columns.
在我的上一期专栏中，我阐述了如何使用表分区，基于一列或多列中的值，跨多个存储对象组织数据。
Fact (or history) tables in data warehouses make excellent candidates for use with each partitioning feature, as you see in table 4 below.
数据仓库中的事实表(或历史表)非常适合使用上述每种特性，如下面的表4所示。
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 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。
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