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To avoid duplication of data we use data redundency .commonly in buissiness administration we have bundle of duplicate files so for such type of these things we use it .data consistency a common data which can acces by every common user a data which consistent for all.

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12y ago
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11y ago

data duplication due to which redundant data is formed .such data is corrupted

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Q: What do you mean by the Data redundancy and inconsistency?
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The problem of inconsistency in data is a direct result of?

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.


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 is data inconsistency?

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.


What is redundancy and inconsistency in data base management system?

Redundancy in a database occurs when the same piece of data is unnecessarily stored in multiple places, leading to inefficiency and potential data inconsistencies. Inconsistency arises when different copies of the same data do not match due to errors or failure to update all instances simultaneously, impacting data integrity and reliability. Database management systems aim to reduce redundancy and ensure consistency through normalization and transaction processing techniques.


What is Drawbacks of using file system to store data?

* Data redundancy and inconsistency. * Data isolation * Problem in atomicity of data * Difficulty to access data. * Security Problems


What is data redundancy?

Data redundancy refers to the unnecessary duplication of data in a database or system. It can cause inefficiencies, make updates more difficult, and increase storage requirements. Data redundancy can be minimized through normalization techniques in database design.


When the same data are stored in many places?

Data redundancy


Advantage of an Oracle Database system?

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


What is data redundancy and data integrity?

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


What are the disadvantages of traditional file management?

Data Redundancy and Inconsistency: Data redundancy: The presence of duplicate data in multiple data files so that the same data are stored in more than one place or location. Data inconsistency: The same attribute may have different values. Program-Data dependency The coupling of data stored in files and the specific programs required to update and maintain those files such that changes in programs require changes to the data. Lack of flexibility A traditional file system can deliver routine scheduled reports after extensive programming efforts, but it cannot deliver ad-hoc reports or respond to unanticipated information requirements in a timely fashion.


What is the difference between data redundancy and data inconsistency?

Redundancy is data that is not needed or no longer needed. Inconsistency is where you have different data for what should be the same thing, as a result of one piece of data having a few copies and not all of them being updated. So if someone's address is on a system several times, and then their address changes, but it is only updated in some of those places, then the person will have both their old and new address on the system. The data is not consistent then. To avoid this data should be only stored once and everyone that needs it looks at the one set, rather than each having their own copy.