Module 2 Topic 1 Sub-topic 1: What is Data Warehousing?

 A Data Warehouse (DW) is a centralized, integrated, and consolidated repository of data that is designed to support decision-making and reporting. Data Warehouses are designed to handle large amounts of data from various sources, providing a single source of truth for an organization's data.

A Data Warehouse is optimized for reporting and analytics, unlike transactional databases which are optimized for transactional processing and write operations. Data in a data warehouse is typically stored in a structured format, such as a relational database, and is designed to support complex queries and reporting. Data is often extracted from transactional systems, transformed to fit the data model of the warehouse, and then loaded into the warehouse for use in reporting and analysis.

Data Warehouses are used to support business intelligence, data mining, and reporting by providing a single source of truth for an organization's data. This allows organizations to collect, store, and analyze large amounts of data, which is essential for making data-driven decisions and remaining competitive. The data in a data warehouse can be historical, current, or a combination of both and can be used to support decision-making, reporting, and analysis.

In summary, A Data Warehouse is a centralized, integrated and consolidated repository of data that is designed to support decision-making and reporting, it is optimized for reporting and analytics, and it collects data from various sources and provides a single source of truth for an organization's data.

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