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An integrated database system is a unified system that manages and maintains data across different databases in a coordinated manner.
An integrated database system is a type of database system that combines data from various sources into a unified, consistent and accessible format. This system is designed to manage and maintain data across different databases, ensuring that all data is coordinated and synchronised. The main purpose of an integrated database system is to eliminate data redundancy and inconsistency, which can occur when data is stored in multiple databases.
In an integrated database system, data from different databases is combined into a single, unified database. This allows for more efficient data management, as all data is stored in one place, making it easier to access and analyse. Furthermore, by eliminating data redundancy, an integrated database system can save storage space and improve system performance.
The integration process involves several steps, including data cleaning, data transformation, and data loading. Data cleaning involves removing errors and inconsistencies from the data. Data transformation involves converting the data into a format that can be used by the integrated database system. Data loading involves transferring the cleaned and transformed data into the integrated database system.
Integrated database systems are particularly useful in large organisations that have multiple databases. By integrating these databases, the organisation can ensure that all its data is consistent and up-to-date. This can help the organisation make more informed decisions, as it has access to a complete and accurate set of data.
In addition, integrated database systems can also support a variety of applications, from business intelligence to customer relationship management. These applications can use the integrated data to provide insights and analytics, helping the organisation improve its operations and strategies.
In conclusion, an integrated database system is a powerful tool for managing and maintaining data. By combining data from different databases into a single, unified system, it can eliminate data redundancy, improve system performance, and support a variety of applications.
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