Relational databases hold data.
关系数据库容纳数据。
Relational data is regular and homogeneous.
关系数据是规则且同构的。
It's a truly rich functional relational data store.
它的确是功能丰富的关系型数据库。
I'm glad I'm not bound to the relational data model.
所幸我不必局限于关系数据模型。
Actually, this report is not based on relational data at all.
实际上,这个报表根本不是基于关系数据的。
Thus, continue to use RUNSTATS as you would for relational data.
因此,像对待关系数据那样,继续使用RUNSTATS。
For relational data sources this collection is usually a database.
对于关系数据源来说,这个集合通常就是数据库。
For relational data sources, this data is normally stored in a table.
对于关系数据源来说,此数据通常存储在表中。
For example, in the relational database data duplication is a big no.
例如,在关系型数据库的数据复制是一个大的没有。
Given this, you now want to push this data into a relational database.
现在,要将这个数据推入关系数据库。
A data schema, especially a data subschema in a relational data system.
关系数据系统中的数据模式,特别是子模式。
In addition, the partitioning key must still be based on relational data.
另外,分区键仍然必须基于关系数据。
Performance though improving is still not at par with the relational data.
尽管性能有所改进,但是仍然比不上关系数据。
So just what is the relationship between XML and the relational data model?
那么XML与关系数据模型之间的关系究竟是怎样的?
You can create joins between relational and XML data also.
还可以在关系数据和XML数据之间创建联结。
Therefore, most deployments of this pattern move data to a relational target database.
因此,这种模式的大多数部署都是将数据移动到关系型目标数据库。
Relational manipulation of Domino data is finally here!
Domino数据的关系操作到此结束!
For example, a non-XML data source can be a relational table.
例如,一个非xml数据源可以是一个关系表。
There is a lot of legacy data already in relational format.
有许多遗留数据采用关系格式。
Grey Relational theory can deal with data selection under this condition.
灰色关联理论可以很好地处理这种情况下的数据选择。
Performance evaluation; Data Envelopment Analysis; Grey Relational Analysis.
绩效评估;资料包络分析法;灰关联分析。
Performance evaluation; Data Envelopment Analysis; Grey Relational Analysis.
绩效评估;资料包络分析法;灰关联分析。
应用推荐