DATA ARCHITECTURE 中文是什么意思

Data Architecture.

数据结构.

The Teradata Unified Data Architecture.

架构的数据.

The data architecture.

的数据架构.

Below is the eTRIKS data architecture:.

而下面是Eureka的数据存储结构：.

Big Data Architecture for Healthcare: What do we need to do?

医疗大数据架构：我们应该怎么做?

This is the information architecture or data architecture approach to SOA.

这是SOA的信息体系结构或者数据体系结构方法。

Building the data architecture of enterprise systems in a way that reflects current regulations.

根据当前法规的方式构建企业系统的数据架构。

We have seen companies move from their traditional data architecture to big data environments.

亦有不少企业从传统数据架构转移至大数据环境。

The data architecture means that data flows through the system to guide the underlying AI;

数据架构意味着数据流经系统以引导底层AI;

Organizations know they cannot afford to risk 5G-driven data architecture failures or falling behind their competition.

企业很清楚他们无法承受5G驱动型数据架构项目失败或落后于竞争对手的风险。

Clearsense founders started thecompany with Hortonworks Data Platform at the center of its data architecture.

Clearsense创始人建立公司时，以Hortonworks数据平台的数据体系结构为核心。

Data governance and data architecture can be applied and influenced at the application level.

数据治理和数据架构可用于应用层，并影响应用层。

Getting the right sensor data to the rightSMEs is more important than solving a data architecture model from an IT department perspective.

将正确的传感器数据传递给正确的中小型企业比从IT部门角度解决数据架构模型更为重要。

Data Architect: Develops data architecture to effectively capture, integrate, organize, centralize and maintain data..

数据架构师--开发数据架构，以有效地捕获、整合、组织、中心化和维护数据。

These trends spell doom for companies that are spending time on Hadoop and Spark hardware andsoftware upgrades to modernize their data architecture.

这些趋势表明，花时间在Hadoop和Spark硬件和软件升级上以使其数据架构现代化的公司注定要失败。

They create enterprise-wide and responsive data architecture that can help with aligning IT strategies and business goals.

他们创建了企业范围的响应式数据架构，有助于协调IT战略和业务目标。

Data architecture, which documents the structure of logical and physical data assets and any related data management resources.

数据架构，记录逻辑和物理数据资产的结构以及任何相关的数据管理资源。

Without the shift from a programming paradigm to a Data Architecture paradigm, modern computers would be much clumsier and much slower.

如果没有从编程范式转换到数据架构范式，现代计算机将会变得更加笨拙迟钝。

Learn data architecture, cloud computing, web technologies, SAS and IBM Watson Analytics, big data computing and the Internet of Things.-.

了解数据架构，云计算，Web技术，SAS和IBMWatsonAnalytics，大数据计算和物联网。

InfoQ: What automated quality gates should Big Data Architecture components be processed through before being released into production?

InfoQ：在发布到生产环境之前，大数据架构的组件应当进行怎样的自动化质量监测？?

Data architecture which describes the structure of an organization's logical and physical data assets and the associated data management resources.

数据架构，记录逻辑和物理数据资产的结构以及任何相关的数据管理资源。

At Western Digital, we have evolved our internal IoT data architecture to have one authoritative source for data that is“clean.”.

在西部数据公司，已经开发了其内部的物联网数据架构，以便拥有一个“干净”数据的权威来源。

Finalizing the data architecture is the most time-consuming task that, once completed, will provide a strong foundation for the physical implementation.

数据架构的最终确定是最耗费时间的任务，但是一旦完成，它就可以为物理部署提供坚实的基础。

The AI learning platform consists of the following four dimensions: service architecture,application architecture, data architecture and technical architecture.

AI学习平台包括以下四个维度：服务架构，应用程序架构，数据架构和技术架构。

According to Paul,"a proper Big Data architecture utilizes a messaging system to handle incoming data and events in real time".

Paul认为：“合理的大数据架构使用消息系统对输入的数据和事件进行实时处理”。

In response, new, more competitive businesses began releasing tools and software(Oracle Developer, PowerBuilder)for enhancing a systems Data Architecture.

回以他们的则是新的、更具竞争力的企业开始发布工具和软件(如:Oracle开发人员、PowerBuilder)用来增强系统数据架构。

This is a fairly common big data architecture, where a much smaller relational data warehouse is used to augment a Hadoop-based system.

这是很常用的大数据架构，用小得多的关系数据仓库来对上基于Hadoop的系统。

That's how many organizations will ultimately reform data architecture and governance: with AI and other technologies offering value propositions that require it.

这就是有多少企业最终会改革数据架构和管理的衡量方法：人工智能和其他技术提供了需要它的价值主张。

From a data architecture perspective, many MDM Data Hub implementations leveraged a Master-Slave construct or one of its variations, such as sharding.

从数据架构的角度来看，很多的MDMDataHub实现使用了Master-Slave构造或它的变种，比如sharding。

This new workflow is driving a data architecture that encompasses multiple storage locations, with data movement as required, and processing in multiple locations.

这个新的工作流程正在推动包含多个存储位置的数据架构发展，并根据需要移动数据并在多个位置进行处理。