数鼎科技-全球多语言处理主数据

该数据基于数鼎科技自主研发的多语言数据模型框架，将互联网采集的汽车行业大数据，经过多语言版本的储存、维护、切换、应用等一系列主数据设计开发技术处理，结合所拥有的汽车行业内专有名词等专业术语应用的专家经验，打造多语言并发，适应不同国际社会文化和市场的多语言主数据。满足能够容纳多种语言的全球互通共享的数据需求，促进企业扩大规模和贸易全球化进程。

This dataset is developed based on the independently developed multilingual data model framework of Shuding Technology. Big data of the automotive industry collected from the Internet is processed through a series of master data design and development technologies covering storage, maintenance, version switching and application of multilingual versions. Combined with expert experience in applying professional terminologies such as industry-specific nouns in the automotive sector, a multilingual master data system supporting concurrent multilingual operations and adapting to different international social cultures and markets is constructed. This system meets the data demands for global intercommunication and sharing that accommodates multiple languages, and facilitates enterprise expansion and the globalization process of international trade.

搜集汇总

背景与挑战

背景概述

该数据集基于多语言数据模型框架，专注于汽车行业大数据的多语言处理，包括储存、维护和应用，结合专业术语和专家经验，旨在实现全球互通共享，支持企业适应不同国际市场并促进贸易全球化进程。