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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 is called when there several instances of the same data?
When there are several instances of the same data, it is referred to as "data redundancy." This occurs when identical pieces of information are stored in multiple places, which can lead to inefficiencies and inconsistencies in data management. Redundancy can be intentional for backup purposes or unintentional due to poor database design. Reducing data redundancy is often a goal in database normalization.
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.
Redundancy control in databases?
Redundancy is the state where duplicate rows of the same data is available in a database. Lets say we have an employee database which contains 2 rows of the following data Emp num Emp Name Age 12345 John 25 12345 John 25 This is data redundancy. Data redundancy can be avoided by the use of keys in tables. If in the employee table we had defined a primary key condition for employee number, then the system would not allow us to enter 2 rows of the same data.
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.
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 three types of redundancy checks used in data communications?
coding redundancy interpixel redundancy psycovisual redundancy
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?
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 is an example of data redundancy?
An example of data redundancy is when the same information is stored in multiple places in a database. For example, if customer addresses are stored in both an "order details" table and a "customer information" table, it creates redundancy. This redundancy can lead to inconsistencies if the data is not properly maintained.
Storing the same data in more than one place is called?
redundancy
