0
Data redundancy
Royce Homenick
When the same data is stored in many places, it is referred to as data redundancy. Data redundancy can occur in databases or systems where information is duplicated across multiple locations or tables. While it can provide some benefits like improved data availability and fault tolerance, it can also lead to data inconsistency and increased storage requirements.
Add your answer:
Earn +20 pts
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 a collection of related data organized for quick search and retrieval, usually stored on a single computer system. A distributed database is a database in which parts of the database are stored in multiple locations but managed by a centralized control. Distributed databases are used to improve performance, reliability, and scalability by allowing data to be spread across multiple servers or 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?
A collection of records in data processing is typically referred to as a database. It is a structured set of data stored in a computer system that is organized in a way that allows for easy retrieval, manipulation, and management of the information contained within it.
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.
Difference between database and distributed database?
A database is a collection of related data organized for quick search and retrieval, usually stored on a single computer system. A distributed database is a database in which parts of the database are stored in multiple locations but managed by a centralized control. Distributed databases are used to improve performance, reliability, and scalability by allowing data to be spread across multiple servers or 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.
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.
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.
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
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 ...
Which memory stores programs and data files?
All data is stored in the same memory locations being it permanent or temporary memory, programs and data are essentially the same thing . The way that the data is differentiated is by using memory locations assigned to data string or information. In other words different data location address's for different data bits. Hope i helped.
What is Data redundancy in DBMS?
Data redundancy in DBMS refers to the duplication of data within a database system. This can result in inconsistencies and inefficiencies, as well as consuming more storage space. It is important to minimize data redundancy in order to maintain data integrity and improve performance.
Can blank tape stored sound by a computer code and not in magnetic patterns?
Data may be stored on tape in both analog and digital form.But if the recording medium is magnetic tape, then the data willl be stored as magnetic patterns.Cuneiform, writing on paper, and wax cylinders are all long-lasting storage media.Magnetic media have yet to prove themself as archival storage. The same comment applies to many of the CD and DVD materials.
