面向數(shù)據(jù)分析的數(shù)據(jù)倉(cāng)庫設(shè)計(jì)與應(yīng)用

摘要：信息化時(shí)代，數(shù)據(jù)逐漸成為各行業(yè)的核心戰(zhàn)略資源，日益受到企業(yè)重視。文章基于多維數(shù)據(jù)模型構(gòu)建企業(yè)級(jí)全局?jǐn)?shù)據(jù)倉(cāng)庫，實(shí)現(xiàn)企業(yè)范圍內(nèi)跨業(yè)務(wù)系統(tǒng)的數(shù)據(jù)融合，基于分類主題數(shù)據(jù)為經(jīng)營(yíng)管理和科研生產(chǎn)提供數(shù)據(jù)分析支撐決策，實(shí)現(xiàn)數(shù)據(jù)賦能。

關(guān)鍵詞：數(shù)據(jù)分析；數(shù)據(jù)倉(cāng)庫；主題數(shù)據(jù)

doi：10.3969/J.ISSN.1672-7274.2023.08.037

中圖分類號(hào)：TP 311            文獻(xiàn)標(biāo)志碼：A            文章編碼：1672-7274（2023）08-0-03

Design and Application of Data Warehouse for Data Analysis

WANG Guofeng， ZHANG Wen， WU Lijun， HU Tianye， KANG Yufei

（Beijing Mechanical Equipment Research Institute， Beijing 100854， China）

Abstract： In the age of digitalization， data has gradually become the core strategic resource across various industries， receiving increasing attention from businesses. Building an enterprise-level global data warehouse based on a multidimensional data model enables the integration of data across business systems within the organization. By leveraging categorized thematic data， this approach provides data analysis support for both operational management and scientific research， empowering data-driven decision-making.

Key words： data analysis; data warehouse; theme data

0   引言

隨著5G、物聯(lián)網(wǎng)、AI等先進(jìn)信息技術(shù)迅猛發(fā)展和廣泛應(yīng)用，數(shù)據(jù)大爆炸成為當(dāng)今時(shí)代重要特征。（剩余4212字）