What is a data warehouse, and how does it differ from traditional databases? Discuss its purpose, key components, and use cases in data analytics.
Explain the role of a data warehouse in business intelligence, its architecture, and how it supports data integration and reporting.
Data warehouses are designed to store and analyze large volumes of historical data from multiple sources, making it easier for organizations to perform complex queries and generate reports.
A typical data warehouse architecture consists of an ETL process for data extraction, transformation, and loading, a centralized repository for data storage, and tools for data analysis and reporting.
Data warehouses are commonly used for business intelligence, including sales analysis, customer behavior tracking, and financial reporting, allowing businesses to make informed decisions based on historical trends.
