0
What else can I help you with?
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 - 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.
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
A group of related fields is known as data redundancy?
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.
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 is data redundancy?
Storing the information several time leads to waste of storage space is called data redundacy. Data redundancy is a term used about databases and means simply that some data fields appear more than once in the database. Data redundancy is wasteful and inefficient for several reasons and database designers attempt to eliminate it as far as possible by using a technique called data normalization. Data redundancy occurs in database systems which have a field that is repeated in two or more tables. For instance, in case when customer data is duplicated and attached with each product bought then redundancy of data is a known source of inconsistency.
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 are the limitations of flat file databases?
• Data duplication• Data inconsistency or update/deletion/insertion anomalies• Data integrity errors (due to data inconsistency)• Inconsistent search results in multi-value fields
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
