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How can a primary key be useful in controlling data redundancy?
controlling data redundancy
What is data redundancy and problems associated with it?
Duplication of data is data redundancy. It leads to the problems like wastage of space and data inconsistency.
What are rows in dbms?
In DBMS the data is stored in the form of table . Each row in DBMS is known as tuple.
What is the repetition of data in a database called?
its called data redundancy.
What kind of problems are associated with redundancy in databases?
problems associated with redundancy in data base,Redundancy occurs in same data multiple time tends to several problems some times redundancy controlling is necessary to improve the performance of the query.
What is Data redundancy in DBMS?
In database we store data however the can be redundant. Redundancy means repetitive data that is taking extra storage space . So to reduce or prevent the storage space we should eliminate redundancy or just reduce it.
What are advantages of dbms approach?
There are number of advantages of DBMS approach , some of them are : Data integrity is maintained, Data accessibility is also easy, The redundancy of data is also reduced.
What are the characteristics of DBMS?
Database management system is full form of DBMS . Characteristics of a DBMS are following : 1) It maintains data integrity. 2) It reduces redundancy. 3) make access to data easy.
What is de-normalisation in dbms?
Hi, Denormalisation is the process to read the performance by adding redundancy of data or by grouping of data.
DO you have redundancy of records in distributed DBMS?
Redundancy means duplicacy of data or repetitive data. In distributed database case the data is stored in different systems . So the answers is yes there can be redundancy of records / data.In distributed database , data is stored in different systems. Since the data is distributed there is redundancy of records.
What are advantages of rdbms over dbms?
Some advantages of relational database management systems (RDBMS) over traditional database management systems (DBMS) include data integrity through the use of constraints, normalization to reduce redundancy, support for ACID transactions, and standardized SQL language for data manipulation. RDBMS also offer scalability and flexibility for complex data structures and relationships.
What is the difference between controlled redundancy and uncontrolled redundancy?
Controlled redundancy refers to intentionally duplicating certain components in a system to ensure reliability and fault tolerance, whereas uncontrolled redundancy occurs unintentionally due to inefficient processes or lack of coordination. Controlled redundancy is planned and managed to enhance system performance, while uncontrolled redundancy can lead to inefficiencies and waste of resources.
What are the advantages DBMS?
-data redundancy:which reduce the redundancy-repetition of data -security-it provides security for various levels -data sharing-it allows multiple users to access and share the data becomes easier in dbms -data concurrency:it allow multiple users to acess the same data simultaniously
How do databases management system overcome the problem associated with data redundancy?
Database Management Systems (DBMS) overcome data redundancy by implementing normalization, which organizes data into tables to minimize duplication. Additionally, they use relationships between tables, allowing data to be stored in one location and referenced as needed, rather than being repeated. This centralized approach not only reduces redundancy but also enhances data integrity and consistency across the database. Furthermore, DBMS often incorporate constraints and rules to enforce data uniqueness and prevent duplicate entries.
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
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.
What is the difference between file base system and data base system?
DBS has more security and data integrity.It reduce data redundancy and updating errors which can occur in FBS.Contains of concurrent data access.But also it's expensive to use and they are also complex.Damage to DB affects virtually all application programs.
