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No it is not. A well designed database will have no duplication. Duplication of data takes up more space. It can also lead to inconsistencies in the data. If the same data is there more than once, it can sometimes that not all copies of it are changed when they have to be. So for example, you could have a person listed twice in a database. If they got a new phone number and this was only changed in one of the entries for them on the database, you would now have the same person listed twice, but with each having a different phone number. If they are on the system once only, then there cannot be those kinds of inconsistencies.
No it is not. A well designed database will have no duplication. Duplication of data takes up more space. It can also lead to inconsistencies in the data. If the same data is there more than once, it can sometimes that not all copies of it are changed when they have to be. So for example, you could have a person listed twice in a database. If they got a new phone number and this was only changed in one of the entries for them on the database, you would now have the same person listed twice, but with each having a different phone number. If they are on the system once only, then there cannot be those kinds of inconsistencies.
No it is not. A well designed database will have no duplication. Duplication of data takes up more space. It can also lead to inconsistencies in the data. If the same data is there more than once, it can sometimes that not all copies of it are changed when they have to be. So for example, you could have a person listed twice in a database. If they got a new phone number and this was only changed in one of the entries for them on the database, you would now have the same person listed twice, but with each having a different phone number. If they are on the system once only, then there cannot be those kinds of inconsistencies.
No it is not. A well designed database will have no duplication. Duplication of data takes up more space. It can also lead to inconsistencies in the data. If the same data is there more than once, it can sometimes that not all copies of it are changed when they have to be. So for example, you could have a person listed twice in a database. If they got a new phone number and this was only changed in one of the entries for them on the database, you would now have the same person listed twice, but with each having a different phone number. If they are on the system once only, then there cannot be those kinds of inconsistencies.
No it is not. A well designed database will have no duplication. Duplication of data takes up more space. It can also lead to inconsistencies in the data. If the same data is there more than once, it can sometimes that not all copies of it are changed when they have to be. So for example, you could have a person listed twice in a database. If they got a new phone number and this was only changed in one of the entries for them on the database, you would now have the same person listed twice, but with each having a different phone number. If they are on the system once only, then there cannot be those kinds of inconsistencies.
No it is not. A well designed database will have no duplication. Duplication of data takes up more space. It can also lead to inconsistencies in the data. If the same data is there more than once, it can sometimes that not all copies of it are changed when they have to be. So for example, you could have a person listed twice in a database. If they got a new phone number and this was only changed in one of the entries for them on the database, you would now have the same person listed twice, but with each having a different phone number. If they are on the system once only, then there cannot be those kinds of inconsistencies.
No it is not. A well designed database will have no duplication. Duplication of data takes up more space. It can also lead to inconsistencies in the data. If the same data is there more than once, it can sometimes that not all copies of it are changed when they have to be. So for example, you could have a person listed twice in a database. If they got a new phone number and this was only changed in one of the entries for them on the database, you would now have the same person listed twice, but with each having a different phone number. If they are on the system once only, then there cannot be those kinds of inconsistencies.
No it is not. A well designed database will have no duplication. Duplication of data takes up more space. It can also lead to inconsistencies in the data. If the same data is there more than once, it can sometimes that not all copies of it are changed when they have to be. So for example, you could have a person listed twice in a database. If they got a new phone number and this was only changed in one of the entries for them on the database, you would now have the same person listed twice, but with each having a different phone number. If they are on the system once only, then there cannot be those kinds of inconsistencies.
No it is not. A well designed database will have no duplication. Duplication of data takes up more space. It can also lead to inconsistencies in the data. If the same data is there more than once, it can sometimes that not all copies of it are changed when they have to be. So for example, you could have a person listed twice in a database. If they got a new phone number and this was only changed in one of the entries for them on the database, you would now have the same person listed twice, but with each having a different phone number. If they are on the system once only, then there cannot be those kinds of inconsistencies.
No it is not. A well designed database will have no duplication. Duplication of data takes up more space. It can also lead to inconsistencies in the data. If the same data is there more than once, it can sometimes that not all copies of it are changed when they have to be. So for example, you could have a person listed twice in a database. If they got a new phone number and this was only changed in one of the entries for them on the database, you would now have the same person listed twice, but with each having a different phone number. If they are on the system once only, then there cannot be those kinds of inconsistencies.
No it is not. A well designed database will have no duplication. Duplication of data takes up more space. It can also lead to inconsistencies in the data. If the same data is there more than once, it can sometimes that not all copies of it are changed when they have to be. So for example, you could have a person listed twice in a database. If they got a new phone number and this was only changed in one of the entries for them on the database, you would now have the same person listed twice, but with each having a different phone number. If they are on the system once only, then there cannot be those kinds of inconsistencies.
Wiki User
∙ 10y ago
Wiki User
∙ 10y agoNo it is not. A well designed database will have no duplication. Duplication of data takes up more space. It can also lead to inconsistencies in the data. If the same data is there more than once, it can sometimes that not all copies of it are changed when they have to be. So for example, you could have a person listed twice in a database. If they got a new phone number and this was only changed in one of the entries for them on the database, you would now have the same person listed twice, but with each having a different phone number. If they are on the system once only, then there cannot be those kinds of inconsistencies.
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Is data redundancy leads to data inconsistency?
yes. data redundancy is where there is duplication of data in a database. when this happens, anyone who has to make updates to a table in a database (that is, make changes to the database) will have to change that particular data that has been duplicated so many times in so many places. this creates a problem and it is not always going to be possible for a person to change everything correctly. this therefore leads to inconsistencies in the database. hope this helps.
What is the definition of database clustering?
Database is defines as a collection related records/data. When the data in the database is grouped based on some classification it is called database clustering.
Does a relational database store data in the form of a list?
A relational database stores data in the form of TABLES.
Is a data table the same as a database?
No. A table is the primary object used within a database to store data. A typical database will consist of many tables.
What is the meant by anomaly in database?
Data anamaly means same type of data present in database as a duplication.So while updating or modifying the information in the database we gets the problem of data inconsistency to solve this problem we need to remove the duplicated data
Why does your MS Access icon look like a record?
Access is a database. Records are what each set of data is, so they are a key aspect of Access and any database. So that is why the icon is like it is.Access is a database. Records are what each set of data is, so they are a key aspect of Access and any database. So that is why the icon is like it is.Access is a database. Records are what each set of data is, so they are a key aspect of Access and any database. So that is why the icon is like it is.Access is a database. Records are what each set of data is, so they are a key aspect of Access and any database. So that is why the icon is like it is.Access is a database. Records are what each set of data is, so they are a key aspect of Access and any database. So that is why the icon is like it is.Access is a database. Records are what each set of data is, so they are a key aspect of Access and any database. So that is why the icon is like it is.Access is a database. Records are what each set of data is, so they are a key aspect of Access and any database. So that is why the icon is like it is.Access is a database. Records are what each set of data is, so they are a key aspect of Access and any database. So that is why the icon is like it is.Access is a database. Records are what each set of data is, so they are a key aspect of Access and any database. So that is why the icon is like it is.Access is a database. Records are what each set of data is, so they are a key aspect of Access and any database. So that is why the icon is like it is.Access is a database. Records are what each set of data is, so they are a key aspect of Access and any database. So that is why the icon is like it is.
Is moving data the same as duplicating data?
No, Moving data is not same as duplicating data. When we copy data that causes duplication of data . And while moving we are just changing the storage location of data.To copy data is duplication, but to move data does not cause duplication.
What is the main purpose of relating data between tables in a database?
The main purpose of relating data between tables in a database is to establish connections between different pieces of information, allowing for efficient querying and retrieval of data. This relationship helps to avoid data duplication and ensures data integrity by enforcing constraints and maintaining consistency across the database.
What is duplicate data?
Data duplication is the process by which multiple rows of the same data gets inserted into a database. For example consider the employee table Employee Name Emp Num Age AAA 111 20 BBB 222 22 If we insert another row with data "AAA 111 20" Then it would cause data duplication.
Is data redundancy leads to data inconsistency?
yes. data redundancy is where there is duplication of data in a database. when this happens, anyone who has to make updates to a table in a database (that is, make changes to the database) will have to change that particular data that has been duplicated so many times in so many places. this creates a problem and it is not always going to be possible for a person to change everything correctly. this therefore leads to inconsistencies in the database. hope this helps.
What are the disadvantages of a physical database?
its hard to findsomeone can steal it easilyif you lose its harder to regain it.(its harder than electric storge
What problems are caused by data redundancy?
Data redundancy is a data organization issue that allows the unnecessary duplication of data within your Microsoft Access database. A change or modification, to redundant data, requires that you make changes to multiple fields of a database. While this is the expected behaviour for flat file database designs and spreadsheets, it defeats the purpose of relational database designs. The data relationships, inherent in a relational database, should allow you to maintain a single data field, at one location, and make the database's relational model responsible to port any changes, to that data field, across the database. Redundant data wastes valuable space and creates troubling database maintenance problems
What is kept in a database?
Most importantly data is stored in a database, hence its name. Also within the wider aspect of it you have things like queries, forms and reports, which all help to manage that data. From that you get the term database managment system.
Duplication of data can be avoided by?
Implementing a normalized database schema to reduce redundant data. Using unique constraints and primary keys to enforce data integrity. Utilizing foreign keys to establish relationships between tables instead of storing the same data in multiple places.
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.
Advantages and disadvantages of relational data model?
Advantages of relational data model include data integrity through normalization, flexibility to query data using SQL, and ease of understanding relationships between entities. Disadvantages can include performance issues with complex queries, potential for data duplication across tables, and difficulty in scaling for very large datasets.
What factors influence the development of database concept?
Before the intruduction of this database concept many people used Manual Processing and File based systems.But there are some limitations. Manual Processing-Time consuming Does not support large volumes of data File Based System-Data Inconsistency Duplication of data Security problems And to overcome the limitations of these processing this Database processing was intruduced
