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Examples of functional dependency in dbms?
a functionaly dependency is an association between two relational attribute of same relational database.one of the attribute is known as determinant and the other one is determined.for the each value of determinant there is only one value associated of determined. graphicaly it can be represented A----->B .
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.
What is non trivial functional dependency?
-->non trivial functional dependency is totally opposite to the trivial functional dependency. --> non trivial dependency means X-->Y that is if Y is not proper subset of X table or relation with X then it said to be non trivial functional dependency.
What is partial proportion?
partial proportion is equal
What is partial sum method?
what is the meaning for partial sums
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.
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
Solved examples of normalization in DBMS?
solved examples of normalization
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 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.
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.
Describe the dependency diagram and explain its purpose?
A dependency diagram is a visual representation of a dependency graph. Dependency diagrams are integral to software development, outlining the complex, interrelationships of various functional elements. Typically in a dependency diagram, arrows point from each module to other modules which they are dependent upon.The dependency diagram is used as an aid to normalization within database design.
What is the basic terminology of dbms?
Acid cursor data database field primary & foreign keys procedure & function odbc & oledb normalization trigger
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.
What is functional dependency in DBMS?
A key is a set of attributes that uniquely identifies an entire tuple, a function dependency allow us to express constraints that uniquely identify the values of certain attribute.
Difference between rdbms and dbms?
dbms stands for data base management system whereas rdbms is relational data base management system. A Database Management System (DBMS) is collection of software programs which enable large, structured sets of data to be stored, modified, extracted and manipulated in different ways. Whereas Relational Database Managemet System (RDBMS) is a data structured in database tables, fields and records. Each RDBMS tables consist of database table rows.
What is normalization in DBMS?
Normalisation means make table very effective and usable means make table atomic ,unique primary key,not redundancy etc.
