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Data inconsistency exists when different and conflicting versions of the

same data appear in different places. Data inconsistency creates

unreliable information, because it will be difficult to determine which

version of the information is correct. (It's difficult to make correct - and

timely - decisions if those decisions are based on conflicting information.)

Data inconsistency is likely to occur when there is data redundancy. Data

redundancy occurs when the data file/database file contains redundant -

unnecessarily duplicated - data. That's why one major goal of good

database design is to eliminate data redundancy.

In the below link you can find more details.

http://opencourseware.kfupm.edu.sa/colleges/cim/acctmis/mis311/files%5CChapter1-Database_Systems_Topic_2_Introducing_Databases.pdf

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What are the disadvantages of file systems?

1)Limited Security 2)limited Data Sharing 3)Data Redundancy 4)Integrity Problems


What does data integrity mean?

"Data integrity refers to the maintenance of, and the assurance of the accuracy and consistency of, data over its entire life-cycle, and is a critical aspect to the design, implementation and usage of any system which stores, processes, or retrieves data". Source: Wikipedia.


Various integrity rules in a DBMS?

Three basic types of database integrity constraints are:Entity integrity, not allowing multiple rows to have the same identity within a table.Domain integrity, restricting data to predefined data types, e.g.: dates.Referential integrity, requiring the existence of a related row in another table, e.g. a customer for a given customer ID.


Is the cyclic redundancy check better than hamming code?

It depends on what you are doing. The cyclic redundancy check will only detect an error, while the hamming code can also correct many types of errors. However to perform this correction the extra error detection parity bits required in hamming code are many more than the bits needed for cyclic redundancy check, per data byte being checked. Normally cyclic redundancy check is done on large block of data that can be resent or retried to get the correct block of data (e.g. telecommunication channels, disk sectors). Normally hamming code is done on individual bytes or words of computer memory.


Difference between temporal redundancy and spatial redundancy?

The redundancy is nothing but the reduction.The temporal locality is of relating to short time requirements.And the spatial is of relating to over environment.The redundancy occur in the images are of most common,so many techniques applied to overcome this. In image temporal redundancy is of abrupt transitions while in spatial it is of block based transitions.Spatial is applied at minimum cost and temporal is at maximum cost.Threshold values apply to temporal redundancy and the pixel comparison technique applies to spatial redundancy.

Related Questions

What is the definition of form in database?

it is a process of eliminate data redundancy and improved data integrity, storage efficiency, or scalability.


What are the strength of the database?

Reduced data redundancy, Improved data integrity, Shared data, Easier access, Reduced development time


What is the definition of normal form in database?

it is a process of eliminate data redundancy and improved data integrity, storage efficiency, or scalability.


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 are five strengths of the database approach?

Reduced data redundancy, Improved data integrity, Shared data, Easier access, Reduced development time


Limitation of data processing system?

Hi, Data redundancy Data Inconsistancy Difficulty in accessing data Data Isolation Integrity problem Atomicity problem security problem


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.


Why normalizations are important for database development?

Normalisation is process of taking data from a problem and reducing it to a set of relations. Meanwhile ensuring data integrity and eliminating data redundancy.


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 Efficiency of storage redundancy?

Efficiency of storage redundancy refers to the ability of redundant storage systems to efficiently protect data without impacting performance. It involves minimizing the amount of redundant data stored while maintaining data integrity and availability in case of failures. Efficient storage redundancy helps optimize storage resources and reduce the overhead costs associated with redundancy.


How can a primary key be useful in controlling data redundancy?

controlling data redundancy


What are a couple of problems whit a traditional file environment?

Data redundancy Lack of data redundancy Data inconsistency Data security