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Many applications today rely on a backend database in order to function. If the database is not working properly, then the entire application is typically inaccessible because so much information including logins are stored in the database. Databases should be tested for boundary conditions, stress, function, and structure to ensure that everything is working as designed.

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Why is it important for a database to be normalized?

Normalization is a process of reducing redundancies of data in a database. If you don't normalize you will have to repeat data entry.


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The most important database performance metrics include query response time, throughput (queries per second), resource utilization (CPU, memory, disk I/O), and database locking/blocking events. Monitoring these metrics can be achieved using database management tools or monitoring software that provides real-time statistics and alerts, such as Prometheus, Grafana, or built-in database performance dashboards. Additionally, setting up logging for slow queries and periodic performance reviews can help identify bottlenecks and optimize performance. Regularly analyzing these metrics aids in proactive database management and ensures optimal performance.


What is the ranges of database?

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What is the need for aggregation?

Aggregation is an important concept in database design where composite objects can be modelled during the design of database applications. Therefore, preserving the aggregation concept in database implementation is essential. In this paper, we propose models for implementation of aggregation in an Object-Relational Database Management System (ORDBMS) through the use of index clusters and nested tables. ORDBMS is a commercial Relational Database Management Systems (RDBMS), like Oracle, which support some object-oriented concepts. We will also show how queries can be performed on index clusters and nested tables.