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Date Warehousing
A data warehouse is a process of integrating and storing large amounts of data from different sources for analysis and decision-making purposes. It involves the collection, transformation, and loading of data into a centralized, stable, and secure environment called a data warehouse. The data warehouse has been optimized for queries and analysis, enabling enterprises to gain insights and make informed decisions based on historical and current data. It is an important component of business intelligence and data analysis, supporting various strategic initiatives and operational processes. This is a mind map about Data Warehousing. The map contains 12 main branches, namely: Key Features, Cloud Data Warehouse, Architecture, Modern Data Warehouse, Types of Data Warehouses, Example Applications, Issues Occur while Building the Warehouse, Advantages of DataWarehousing, Oracle Autonomous Data Warehouse, Designing a Data Warehouse, Examples of Data Warehousing in Various Industries. Each main branch has detailed descriptions of multiple sub branches. Suitable for people interested in Data Warehousing.
Edited at 2024-02-22 13:36:37Date Warehousing
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