DATA MODELS 中文是什么意思 - 中文翻译

• 数据模型
• 数据模式
• 数据模子
• 数据建模

在 英语 中使用 Data models 的示例及其翻译为 中文

(b) Data models and classifications;
(b)数据模式和分类；.

The DICOM standard defines three data models for the query/retrieve service.
DICOM标准为查询/检索服务定义了三种数据模型。

Data models and classifications(item 11(b)).
数据模式和分类(议程项目11(b)).

NoSQL databases are also often faster because their data models are simpler.
NoSQL数据库速度更快的原因是其数据模型更加简单.

Data models define not only data elements, but also their structure and relationships.
数据建模定义的不只是数据元素，也包括它们的结构和它们之间的关系。

RDF is a simple language for expressing data models, which refer to objects(“resources“) and their relationships.
RDF是外达数据模子的简单言语，它涉及对象（“Web资源”）及其联系。

All database data modeling should ascribe to conceptual(CDM), logical(LDM), and physical(PDM) data models.
所有数据库数据建模都应该归因于概念(CDM)、逻辑(LDM)和物理(PDM)数据模型。

RDF is a simple language for expressing data models, which refer to objects(“resources”) and their relationships.
RDF是表达数据模型的简单语言，它涉及对象（“Web资源”）及其关系。

Now, it is possible for DBAs to access large libraries of Machine Learning or Deep Learning Data Models offered by third-party vendors.
现在，DBA可以访问由第三方供应商提供的大型机器学习或深度学习数据模型库。

They will rely on data models to provide core cognition capabilities and explicit logic to interface with users and interpret results.
它将依靠数据模型提供核心认知能力和明确的逻辑，以便与用户交互并解释结果。

To do this, they will collect, transform and visualize data, create data models, as well as run predictions and simulations.
为此，他们将收集，转换和可视化数据，创建数据模型，以及运行预测和模拟。

Note: Data models also supports the unary operator,-(negative), but this operator does not change the data type of the operand.
注意：数据模型还支持一元运算符-（负号），但此运算符不会更改操作数的数据类型。

Search and analytics are simple use cases for those data sets, but other data models can also be used, such as graph analytics.
搜索和分析是这些数据集的简单用例，但也可以使用其他数据模型，例如图形分析。

The second model adopted a bilateral scheme in which national single windows would exchange information under common protocols and data models.
第二种模式采用双边安排，各个国家单一窗口在此安排下按照共同协议和数据模式交换信息。

It contains reference architecture and several protocols and data models, and is much more complex than both the Modbus and DNP3 protocols.
它包含参考体系结构和若干协议和数据模型，比Modbus和DNP3协议要复杂得多。

Diagramming: a tool built for creating many kinds of diagrams(e.g. flowcharts, UML diagrams), that can be used to create data models or ERDs.
图表：用于创建多种图表的工具（例如流程图，UML图表），可用于创建数据模型或ERD。

However, Cosmos DB supports additional data models including document storage, has more consistency concepts, and also offers partitioning support.
不过，CosmosDB支持更多的数据模型，包括文档存储，在一致性方面的概念更丰富，并且支持分区。

This course of study teaches students to analyze complex business scenarios, design and create data models, and create databases using SQL.
本学习课程教授学生分析复杂业务方案，设计和创建数据模型以及使用SQL创建数据库。

Context being the core of modern business decisions, modern Data Models have the potential to reshape business decision making through context-sensitive insights.
背景是现代业务决策的核心，现代数据模型有潜力通过背景敏感的见解来重塑业务决策。

Based on its native integrated multi-model feature, you can build high-performance programs, and all three data models support horizontal scaling.
基于其本地集成多模型特性，你可以搭建高性能程序，并且这三种数据模型均支持水平扩展。

For decades we have been employing static data models to understand dynamic data, but VR has given us the ability to process data dynamically.
几十年以来，我们一直在使用静态数据模型来了解动态数据，但VR为我们提供了动态处理数据的能力。

These capabilities will enable a service to interact with people using normal human language, observe patterns, build data models, and recommend actions.
这些功能将使服务能够与使用正常人类语言的人进行交互，观察模式，构建数据模型，并推荐操作。

As has been successfully demonstrated in the ASEAN Single Window, these data models can be used to harmonize data requirements at the national and regional level.
正如东盟单一窗口成功显示的那样，这些数据模型可用于协调国家和区域一级的数据要求。

Machine learning is a type of data analysis that helps computers to find hidden insights from data it receives and build data models.
机器学习是一种数据分析，可以帮助计算机从接收到的数据中找到隐藏的洞见，并建立数据模型。

Unstructured data: Information that is not organized or easily interpreted by traditional databases or data models, and typically, it's text-heavy.
非结构化数据来自传统数据库或数据模型没有组织或容易解释的信息，并且通常是文本繁多。

Based on the results, the business can decide on further action while the data science team improves its data collection, data cleanup and data models.
在结果的基础上，企业可以决定下一步计划，而数据科学团队继续进行数据收集、数据清理和数据建模。

As a result, trade partners are often confronted with duplicative and redundant reporting requirements, forms, systems, data sets, data models, and messages.
因此，贸易伙伴往往会遇到重复而繁琐的报告要求、表格、系统、数据组、数据模式和讯息。