A data warehouse database differs from an operational database because it is used for archiving and reporting on historical data, rather than for day-to-day operations.
Data warehouses are designed to store data from multiple sources, often from disparate systems and formats, and to allow users to query the data using powerful business intelligence tools.
Data warehouses are often used for trend analysis, forecasting, and performance monitoring, and they can be used to quickly access data from multiple sources.
Q1: What is the purpose of a data warehouse?
A1: The purpose of a data warehouse is to store data from multiple sources, often from disparate systems and formats, and to allow users to query the data using powerful business intelligence tools. Data warehouses are often used for trend analysis, forecasting, and performance monitoring.
Q2: What is the difference between a data warehouse and an operational database?
A2: The primary difference between a data warehouse and an operational database is that a data warehouse is used for archiving and reporting on historical data, while an operational database is used for day-to-day operations.
Q3: What are the benefits of a data warehouse?
A3: The benefits of a data warehouse include the ability to quickly access data from multiple sources, analyze data from multiple sources in order to identify trends, and provide insights that can help guide business decisions.
Q4: How is a data warehouse different from a data mart?
A4: A data warehouse is a centralized database that stores data from multiple sources, while a data mart is a subset of a data warehouse that is designed to store a specific set of related data.
Q5: What type of data is stored in a data warehouse?
A5: Data warehouses typically store data from multiple sources, including structured data, unstructured data, and semi-structured data. This data can include customer information, sales transactions, financial data, and other business data.
