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How can a primary key be useful in controlling data redundancy?
Wiki User
∙ 11y ago
controlling data redundancy
Wiki User
∙ 11y ago
Degu Tesfaye
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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 and problems associated with it?
Duplication of data is data redundancy. It leads to the problems like wastage of space and data inconsistency.
What is the repetition of data in a database called?
its called data redundancy.
How does DBMS reduce data redundancy?
DBMS stands for database management system. DBMS reduce data redundancy as it checks if the data is duplicate and if duplicate then store it as a single record.
What does data redundancy mean?
Data redundancy: Sometime Data redundancy refers to in computer data storage, is a property of some disk arrays which provides fault tolerance, so that all or part of the data stored in the array can be recovered in the case of disk failure. The cost typically associated with providing this feature is a reduction of disk capacity available to the user, since the implementations require either a duplication of the entire data set, or an error-correcting code to be stored on the array.Redundancy is attained when the same data values are stored more than once in a table, or when the same values are stored in more than one table.One of the biggest disadvantages of data redundancy is that it increases the size of the database unnecessarily.
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.
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 a couple of problems whit a traditional file environment?
Data redundancy Lack of data redundancy Data inconsistency Data security
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 three types of redundancy checks used in data communications?
coding redundancy interpixel redundancy psycovisual redundancy
Redundancy control in databases?
Redundancy control in databases involves minimizing duplicate data storage to improve efficiency and reduce potential inconsistencies. Techniques such as normalization, using primary keys, and enforcing constraints like unique constraints help prevent redundancy by structuring and managing data effectively. Eliminating redundancy can enhance data integrity, improve query performance, and simplify data maintenance in database systems.
What is difference between the data validation and data redundancy?
one is a validation the other is redundancy clue is in the name
What is data redundacy?
Data redundancy means storage of data.
Is redundancy is necessary in information systems if yes support your answer with the valid example?
At the very least, it can be extremely useful. Consider the case of a RAID 5 disk system, with 3 (or more) identical disks. Assume we have 3 hard disks of 1 TB each. As a simplified explanation, let's say that two of the disks have useful data, the third one is redundancy. Thus, instead of having 3 TB of useful data, we would only have 2 TB of useful data. However, if any of the three hard disks fail, the data can be reconstructed from the other two.
What is Data redundancy in DBMS?
Data redundancy in DBMS refers to the duplication of data within a database system. This can result in inconsistencies and inefficiencies, as well as consuming more storage space. It is important to minimize data redundancy in order to maintain data integrity and improve performance.
What is an example of data redundancy?
nothing!!
Which redundancy technique is best fulfilled by a thorough and periodic backup strategy?
Data redundancy
