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Data dependence is the way in which the data is organized in secondary storage, and the technique for accessing it, are both dictated by the requirements of the application under consideration, and moreover that knowledge of that data organization and that access technique is built into the application logic and code.
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What is the definition of database clustering?
Database is defines as a collection related records/data. When the data in the database is grouped based on some classification it is called database clustering.
Describe the purpose of normalizing data and also list out the dependencies involved in the process of normalization?
The purpose of normalizing data in DBMS is to reduce the data redundancy and increase the consistency of data. a) Partial dependency: non-prime attribute ( field) depends on other non-prime attributes b) Functional dependency c) Transitive dependency
Does a relational database store data in the form of a list?
A relational database stores data in the form of TABLES.
Is a data table the same as a database?
No. A table is the primary object used within a database to store data. A typical database will consist of many tables.
What is the meant by anomaly in database?
Data anamaly means same type of data present in database as a duplication.So while updating or modifying the information in the database we gets the problem of data inconsistency to solve this problem we need to remove the duplicated data
What is data dependency in DBMS?
Data dependency in DBMS refers to the relationship between different data elements within a database. There are three main types: functional dependency (one attribute determines another), partial dependency (part of a composite key determines other attributes), and transitive dependency (dependency between non-key attributes). Understanding data dependencies is crucial for database normalization and maintaining data integrity.
What is normalization and objective of normalization?
Normalization is the process of organizing data in a database to reduce redundancy and dependency. The objective of normalization is to minimize data redundancy, ensure data integrity, and improve database efficiency by structuring data in a logical and organized manner.
Describe database normalization?
Database Normalization is the process of organizing the fields and tables of a relational database to minimize redundancy and dependency
What is non transitive dependency?
Non-transitive dependency occurs in a database when a relationship between three or more attributes does not imply a direct relationship between all of them. Specifically, if attribute A is dependent on attribute B, and attribute B is dependent on attribute C, it does not necessarily mean that attribute A is dependent on attribute C. This type of dependency can complicate database normalization and design, as it can lead to redundancy and anomalies in data management. Understanding non-transitive dependencies is crucial for ensuring data integrity in relational databases.
How do you validate and retrieve data from database?
How do you validate and retrieve data from database?" How do you validate and retrieve data from database?"
Differentiate DATA from a database?
A database is a collection of data. Data represents items that are stored within the database.
How functional dependency is related to database table design?
The functional dependency is related to the database table design through the foreign and primary keys. The foreign and primary keys are functionally dependent on each other.
What do you understand by Normalization?
Normalization is the process of organizing data in a database to reduce redundancy and dependency by dividing larger tables into smaller ones and defining relationships between them. It ensures data integrity and avoids anomalies like update, insert, or delete anomalies. Normalization is essential for efficient database design and maintenance.
Difference between partial dependency and fully functional dependency?
The difference is that partial dependency is when a database's attribute is only partially dependent on the primary key. Fully functional dependency is when the attribute is entirely dependent on the key.
Enter on the database or in the database?
We would use in rather than on. Data is stored in a database, not on a database. Data is entered into a database not onto a database.
Why do Database Management is related to MS Access?
Access is a Database Management System, so it is related to the management of data. It is what a database is for.Access is a Database Management System, so it is related to the management of data. It is what a database is for.Access is a Database Management System, so it is related to the management of data. It is what a database is for.Access is a Database Management System, so it is related to the management of data. It is what a database is for.Access is a Database Management System, so it is related to the management of data. It is what a database is for.Access is a Database Management System, so it is related to the management of data. It is what a database is for.Access is a Database Management System, so it is related to the management of data. It is what a database is for.Access is a Database Management System, so it is related to the management of data. It is what a database is for.Access is a Database Management System, so it is related to the management of data. It is what a database is for.Access is a Database Management System, so it is related to the management of data. It is what a database is for.Access is a Database Management System, so it is related to the management of data. It is what a database is for.
What is data dependency?
It is like a dependent variable it is just a variable alone.
