DATA MODELING 中文是什么意思

I think data modeling is very important.

数据模型建设非常重要。

Phase 1: elaborates the data modeling process.

步骤一：编写模拟数据产生程序。

The goal of data modeling is to help an organization function better.

数据建模的目的是帮助组织更好地运作。

Have you been involved in database design and data modeling?

你参与过数据库与数据模型的设计吗？?

Like any data modeling, this is hard and complicated work.

与其他数据建模一样，这是一项艰难而复杂的任务。

Query patterns are critical for NoSQL data modeling.

查询模式对于NoSQL数据建模来说至关重要。

Data Modeling Visual SQL Builder Data Transfer Data..

数据模型视觉化SQL创建工具数据传输.

Data analysts are trained in statistical analysis and data modeling.

数据分析师接受统计分析和数据建模方面的培训。

Effective data modeling should be a primary focus of any enterprise architect.

有效的数据建模应该是任何企业架构师的首要关注点。

From the point of view of statistics,clustering analysis is a way to simplify date through data modeling.

从统计学的观点看，聚类分析是通过数据模型简化数据的一种方法。

Data modeling, simulation, and other digital tools are reshaping how we innovate.

数据模型，模拟以及其他一些数字化工具正在重塑我们变革的方法。

The SQL("sequel") style of database has been the standard for data modeling and storage for many decades.

数据库的SQL（“SeQueL”）风格数十年来已成为数据建模和存储的标准。

The first used data modeling to predict the performance of resort community developments in China.

第一个使用数据建模来预测中国度假社区发展的表现。

It offers tools for data editing, SQL query and data modeling, and support all SQLite objects types.

它配备了数据编辑、SQL查询和数据模型工具，并支持所有SQLite对象类型。

Data modeling(or schema design) is in fact more important when dealing with NoSQL than it was with relational databases.

在使用NoSQL时，数据建模（或模式设计）实际上比关系数据库更重要。

As a data scientist, one should always look for accurate yet fast methods orfunctions to do the data modeling work.

作为一名数据科学家，应该始终寻找准确而快速的方法或功能来完成数据建模工作。

Despite attempts to make data modeling more agile, it is often viewed as a bottleneck to the speed and cadence of two-week sprints.

尽管试图使数据建模更加敏捷，但它经常被视为两周冲刺中速度和节奏的瓶颈。

To efficiently use data from all these different tables, without losing or duplicating information,requires data modeling and preparation work.

为了从所有表中有效使用数据，同时不丢失或重复信息，需要数据建模或准备工作。

Data modeling flexibility will dictate whether you can articulate the model requirements for your apps in an efficient and appropriate way.

数据建模的灵活性将决定您是否能以有效和适当的方式阐述应用程序的模型要求。

Make sure that your process allows all users to make changes to data modeling scripts, is version-controlled, and is run in a transparent environment.

确保你的流程，允许所有用户对数据建模脚本进行更改，由版本控制，并在透明环境中运行。

Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra's non-relational design,with special attention to data modeling.

本书作者EbenHewitt阐述了Cassandra的非关系型设计的优势，着重介绍了它的数据模型。

IBM SPSS Neural Networks uses nonlinear data modeling to discover complex relationships and derive greater value from your data..

IBMSPSSNeuralNetworks使用非线性数据建模来发现复杂的数据关系，并从数据中获取更大的价值。

Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra's nonrelational design,and pay special attention to data modeling.

本书作者EbenHewitt阐述了Cassandra的非关系型设计的优势，着重介绍了它的数据模型。

The Analytics Week column 2018 Trends in Data Modeling states that the biggest challenge for modern databases is handling machine data..

AnalyticsWeek专栏2018数据建模趋势指出，现代数据库面临的最大挑战是处理机器数据。

XML provides a useful format for the storage and interchange of linguistic data,but provides no shortcuts for solving pervasive data modeling problems.

XML提供了一种有用的语言数据的存储和交换格式，但解决普遍存在的数据建模问题没有捷径。

Subsequently, data provenance and data modeling are easier to account for and more readily available to trace, which accelerates integration attempts.

随后，数据来源和数据建模更容易解释，并且更易于追踪，这加速了集成尝试。

The greater XQuery ecosystem provides a unified way to query XML documents, including XML selection, serialization, full-text search,and functional data modeling.

更大的XQuery系统提供了查询XML文档的统一方式，包括XML选择、序列化、全文搜索和函数性数据建模。

Development DBAs need to be skilled in the process of data modeling and normalization to ensure that databases are designed to promote data integrity.

开发DBA们需要数据模型和规范化方面的技能，以保证设计出来的数据库符合数据完整性。

We are also enhancing our products to support agile data modeling so you can understand how your centralized datamodels are used by your users.

我们还将强化产品以支持敏捷数据建模，让您能够了解用户如何使用您的集中化数据模型。