The differences between a database and a data warehouse
A database is a gathering of related data and represents some of the elements in the real world. A data warehouse is a data that stores commutative and historical information from both sources. They both store data for organizations. However, databases and data warehouses are different in the following ways.
Databases should be de-normalized in a particular way to 2NF. This leads to data redundancy, which leads to data storage. They are usually optimized to allow read and write. On the other hand, data warehouses are applied for analytical queries. The data warehouse has a high ability to analyze and connect data from numerous heterogeneous sources. It is useful in data analysis and reporting
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The database is utilized in the recording data, t entails the process of gathering oriented data. The database contains distinct tables used in recording data about a company, a person, or a given item. On the contrary, the data warehouse is designed in a way that analyzes the data. The purpose of a warehouse is to offer aggregate data that is analyzed, and therefore it is a suitable format for decision making. The firms can use data from their warehouses for strategic purposes. This is, therefore, useful in managing data and making it useful for businesses.
Finally, databases are significant for conducting small, atomic transactions. Businesses have developed transactional databases, which offer a high level of data integrity. On the other hand, data warehouses are good at handling the larger transactions that require a high level of analysis. Firms get an opportunity of handing large historical data more easily.