數據倉庫（DW）是用於收集和管理來自各種來源的數據以提供有意義的業務見

數據倉庫（DW）是用於收集和管理來自各種來源的數據以提供有意義的業務見解的過程。 數據倉庫通常用於連接和分析來自異構源的業務數據。 數據倉庫是構建用於數據分析和報告的BI系統的核心。它是技術和組件的結合，有助於戰略性地使用數據。 它是企業為查詢和分析而不是事務處理而設計的大量信息的電子存儲。 這是將數據轉換為信息並及時將其提供給用戶以產生影響的過程。

結果 (英文) 1:

Data Warehouse (DW) is used to collect and manage data from various sources to provide a process of meaningful business insights. Data warehouse typically used to connect and analyze traffic data from heterogeneous sources. The data warehouse is to build the core BI systems for data analysis and reporting.

It is a combination of technologies and components, helping the strategic use of data. It is an electronic store large amounts of information for the enterprise query and analysis rather than transaction processing and design. This is to convert the data to provide timely information to the user to influence the process.

結果 (英文) 2:

A data warehouse (DW) is the process of collecting and managing data from a variety of sources to provide meaningful business insights. Data warehouses are typically used to connect and analyze business data from heterogeneous sources. Data warehouses are at the heart of building A BI system for data analysis and reporting.

It is a combination of technology and components that contribute to the strategic use of data. It is an electronic store of a large amount of information designed by an enterprise for querying and analyzing rather than transaction processing. This is the process of converting data to information and providing it to users in a timely manner to make an impact.

結果 (英文) 3:

Data warehouse (DW) is a process used to collect and manage data from various sources to provide meaningful business insights. Data warehouse is usually used to connect and analyze business data from heterogeneous sources. Data warehouse is the core of building BI system for data analysis and reporting.
It's a combination of technology and components that help to use data strategically. It is the electronic storage of a large amount of information designed by enterprises for query and analysis rather than transaction processing. This is the process of transforming data into information and providing it to users in time to have an impact.