(inconsistency- unchanging)
example:-
If a student want to make change in his records, the changes must be made in each and every pages that needs changes..
ex:- if a student changes his address, the new address must be changed in all applications in the institution that require address. The changes doesn't occur automatically in all pages when it is made in one page.
The problem of inconsistency in data can arise from various factors such as errors in data entry, lack of standardized data formatting, and incomplete data updates. Inconsistent data can lead to inaccurate analysis and decision-making, affecting the overall reliability of data-driven processes.
Redundancy - Repetative storage of data leading to possible multiple versions and/or ill utilisation of data storage capacity. Inconsistency - Failure to adhere to standardised storage of data; usage of varying formats, non-confirmation to standardised/defined methods to store similar/related data.
Some disadvantages of remote data objects include potential for slower data retrieval due to network latency, increased security risks when transmitting data over networks, and the potential for data inconsistency if multiple clients are accessing and modifying the same object concurrently.
This statement is incorrect. Data redundancy refers to storing the same piece of data in multiple places, leading to inefficiency and inconsistency. A group of related fields is known as a database or a record in a database.
Data redundancy
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.
Data inconsistency
The problem of inconsistency in data can arise from various factors such as errors in data entry, lack of standardized data formatting, and incomplete data updates. Inconsistent data can lead to inaccurate analysis and decision-making, affecting the overall reliability of data-driven processes.
Data redundancy Lack of data redundancy Data inconsistency Data security
Duplication of data is data redundancy. It leads to the problems like wastage of space and data inconsistency.
* Data redundancy and inconsistency. * Data isolation * Problem in atomicity of data * Difficulty to access data. * Security Problems
• Data duplication• Data inconsistency or update/deletion/insertion anomalies• Data integrity errors (due to data inconsistency)• Inconsistent search results in multi-value fields
Redundancy - Repetative storage of data leading to possible multiple versions and/or ill utilisation of data storage capacity. Inconsistency - Failure to adhere to standardised storage of data; usage of varying formats, non-confirmation to standardised/defined methods to store similar/related data.
Advantages provided by a database system are : a) Redundancy of data is reduced. b) Secured data. c) Controlled data inconsistency. d) Integrated data. e) Standardized data
To integrate has two separate meanings. It might mean simply that different sets of data are put together. It can also refer to a mathematical process which is part of the calculus.
It Occures When The Same data Dosent Matches Each Other In Various Relations(Tables) take an exp of this,suppose a publisher request for change his address is stored in a book as well as , if address of publisher is not modified in any of two field than the same publisher will have diff. address into diff. field .This is known as data inconsistency
Inconsistencies is the plural of inconsistency