关系型 - 翻译成英语

• relational

在 中文 中使用 关系型 的示例及其翻译为 英语

关系型数据库管理系统（RDBMS）具有以下特点：.
All relational database management systems(RDBMS) share the following characteristics.

关系型数据库至今已存在了三十多年。
Relational databases have existed for more than 40 years now.

它是在非关系型数据库中最类似关系型数据库的数据库。
It is the most versatile and most relational database in a non-relational database.

在任何案例中，关系型数据库不是安全软件。
In any case, relational databases are not security software.

问题是，这不是关系型数据库的工作方式。
Problem is that's not quite the way relational databases work.

熟练使用MySQL,或其他类似的关系型数据库.
Working knowledge of MySQL or similar relational database.

关系型数据库和NoSQL数据模型有很大的不同。
Relational and NoSQL data models are very different.

SQLAzure提供关系型数据库功能来作为公用服务。
SQL Azure provides relational database functionality as a utility service.

单体应用程序通常具有一个单一的关系型数据库。
Monolithic applications typically have a single relational database.

关系型数据库对于大规模数据的处理性能糟糕。
Relational databases have poor performance in the processing of large datasets.

我们现在使用的数据库大部分都是关系型数据库。
Most databases used today are Relational Databases.

因为NoSQL数据库永远不会取代传统的关系型数据库。
That doesn't mean that NoSQL databases will replace traditional relational databases overnight.

数据结构本质上是关系型的：数值由其键来解决。
The data structure is relational in nature: the value is addressed by its key.

Mesa概念上的数据模型与传统的关系型数据库极为相似。
Mesa's conceptual data-model is similar to a traditional relational database.

关系型数据仓库服务的通信服务供应商以及在过去，但现在是时候开始考虑以后的行和列。
Relational data warehouses served communications service providers well in the past, but it's time to start thinking beyond columns and rows.

如果你精通关系型数据库技术，那么你将了解数据库、表格、列和行。
If you are familiar with relational database technology, then you will know about databases, tables, rows and columns.

MicrosoftSQLServer是一个关系型数据库管理平台，其中包含可单独安装的产品（如SQLServerManagementStudio）。
Microsoft SQL Server is a relational database management platform and includes products that can be installed separately(such as SQL Server Management Studio).

由于大部分训练数据也是关系型的，这种类型的数据结构似乎非常适合于机器学习问题。
Since much of the training data is also relational, this type of data structure would seem ideally suited to machine learning problems.

关系型数据库由于自身模式僵硬，因此不适合将内部数据与多个外部数据源轻松对接。
The relational databases with their rigid schema are not well suited for marrying the internal data with multiple external data sources with ease.

传统关系型数据库不满足这种扩展性需求，它们需要一个单独的数据库节点去执行同一事务的所有操作。
Traditional relational databases don't meet these scalability requirements; they require a single database node to execute all operations of the same transaction1.