0
Data redundancy
What else can I help you with?
Occurs when the same data are stored in many places?
Data duplication occurs when the same data is stored in multiple locations or systems. This can lead to inconsistencies, errors, and challenges in maintaining data integrity. Employing data normalization techniques and centralized storage systems can help reduce data duplication.
What problems will you have storing the same data in two places in the database?
Storing the same data in two places in a database can lead to data inconsistency issues, making it challenging to maintain data integrity. It increases the risk of data redundancy, which can result in higher storage costs and potential discrepancies between the duplicated data. Additionally, updating data in one place and not the other can lead to discrepancies and inconsistencies in the information stored.
Difference between database and distributed database?
A database is nothing but simply a collection of records. The data can be stored all at a same place or can be distributed in different systems . When data is stored in different places that is distributed it is called distributed database.A database is normally stored in one place. That could be a physical location, like a particular office. A distributed database is one database that has different parts of it stored in different places. This is often for security and safety purposes. To a user, they still see all of the data they need on their screen, so they don't even realise that it is stored in different locations.
Is table content the same with index?
No, table content and index are not the same. Table content refers to the actual data stored in the table, while an index is a data structure that provides a quick look-up for specific columns in the table to improve search performance.
What is called an collection of records in data processing?
In data processing, a table is a collection of records of the same type. Often a table is stored in a file. A collection of several tables ... well, that's another question (see below).
Occurs when the same data are stored in many places?
Data duplication occurs when the same data is stored in multiple locations or systems. This can lead to inconsistencies, errors, and challenges in maintaining data integrity. Employing data normalization techniques and centralized storage systems can help reduce data duplication.
What is an example of data redundancy?
An example of data redundancy is when the same information is stored in multiple places in a database. For example, if customer addresses are stored in both an "order details" table and a "customer information" table, it creates redundancy. This redundancy can lead to inconsistencies if the data is not properly maintained.
What problems will you have storing the same data in two places in the database?
Storing the same data in two places in a database can lead to data inconsistency issues, making it challenging to maintain data integrity. It increases the risk of data redundancy, which can result in higher storage costs and potential discrepancies between the duplicated data. Additionally, updating data in one place and not the other can lead to discrepancies and inconsistencies in the information stored.
Difference between database and distributed database?
A database is nothing but simply a collection of records. The data can be stored all at a same place or can be distributed in different systems . When data is stored in different places that is distributed it is called distributed database.A database is normally stored in one place. That could be a physical location, like a particular office. A distributed database is one database that has different parts of it stored in different places. This is often for security and safety purposes. To a user, they still see all of the data they need on their screen, so they don't even realise that it is stored in different locations.
How do you differentiate a floppy drive data and IDE type data?
Not possible, the same data can be stored both on floppy and HDD.
What is called when there several instances of the same data?
When there are several instances of the same data, it is referred to as "data redundancy." This occurs when identical pieces of information are stored in multiple places, which can lead to inefficiencies and inconsistencies in data management. Redundancy can be intentional for backup purposes or unintentional due to poor database design. Reducing data redundancy is often a goal in database normalization.
Is a database and a database management system the same why why not?
A database is a collection of data. A database management system controls how those data are collected, stored and retrieved.
What is data- sharing and resource-sharing?
The ability to share the same data resource with multiple applications or users. It implies that the data are stored in one or more servers in the network and that there is some software locking mechanism that prevents the same set of data from being changed by two people at the same time.
How can you stop your saints row 2 game from freezing up do you have to like get it buffed out or what?
many disk games have the same issue, the disk is probably scratched where that bit of data was stored
What is data normalization in database?
Normalization is defined as the process of efficiently organizing data in a database. There are ultimately two goals of the normalization process. The first is to eliminate redundant data. Redundant data is defined as storing the same data in more than one table. The second is to ensure that data dependencies make sense by having only related data stored in the same table. Both of these goals are important since they reduce the amount of space a database consumes and ensures that data is logically stored.
What does data redundancy mean?
Data redundancy: Sometime Data redundancy refers to in computer data storage, is a property of some disk arrays which provides fault tolerance, so that all or part of the data stored in the array can be recovered in the case of disk failure. The cost typically associated with providing this feature is a reduction of disk capacity available to the user, since the implementations require either a duplication of the entire data set, or an error-correcting code to be stored on the array.Redundancy is attained when the same data values are stored more than once in a table, or when the same values are stored in more than one table.One of the biggest disadvantages of data redundancy is that it increases the size of the database unnecessarily.
When something is deleted how is it deleted?
Here is it .... Every data stored in the hdd is addressed by pointer that points to the memory location of where the data is stored .. When u delete a particular data only the pointer pointing to the data is deleted.. The data remains in hdd in the same location.. When u store someother data in the harddisk and ur os decides it must be saved in the location were ur old data is , it'll be overwritten ...
