What is 'data redundancy' and why is it a problem in the design of databases?

Group of answer choices

Data redundancy occurs when the same piece of data is stored unnecessarily at multiple places within a database, leading to increased storage costs and potential inconsistencies. This can be problematic because it requires extra maintenance efforts to ensure all instances of the data are updated simultaneously, increasing the likelihood of errors.

Data redundancy refers to the mechanisms used to back up data for disaster recovery. While this can be beneficial, it often complicates database design by requiring additional resources to manage the backup systems, which can slow down the database performance.

Data redundancy involves the encryption of data to enhance security. The problem with this approach in database design is that it can lead to performance bottlenecks during decryption processes and make the system less responsive.

Data redundancy is the process of storing data in compressed formats to save space. This practice can make database design more complex because data must be decompressed for use, potentially slowing down access times and complicating data retrieval processes.What is 'data redundancy' and why is it a problem in the design of databases?

Group of answer choices

Data redundancy occurs when the same piece of data is stored unnecessarily at multiple places within a database, leading to increased storage costs and potential inconsistencies. This can be problematic because it requires extra maintenance efforts to ensure all instances of the data are updated simultaneously, increasing the likelihood of errors.

Data redundancy refers to the mechanisms used to back up data for disaster recovery. While this can be beneficial, it often complicates database design by requiring additional resources to manage the backup systems, which can slow down the database performance.

Data redundancy involves the encryption of data to enhance security. The problem with this approach in database design is that it can lead to performance bottlenecks during decryption processes and make the system less responsive.

Data redundancy is the process of storing data in compressed formats to save space. This practice can make database design more complex because data must be decompressed for use, potentially slowing down access times and complicating data retrieval processes.What is 'data redundancy' and why is it a problem in the design of databases?

Group of answer choices

Data redundancy occurs when the same piece of data is stored unnecessarily at multiple places within a database, leading to increased storage costs and potential inconsistencies. This can be problematic because it requires extra maintenance efforts to ensure all instances of the data are updated simultaneously, increasing the likelihood of errors.

Data redundancy refers to the mechanisms used to back up data for disaster recovery. While this can be beneficial, it often complicates database design by requiring additional resources to manage the backup systems, which can slow down the database performance.

Data redundancy involves the encryption of data to enhance security. The problem with this approach in database design is that it can lead to performance bottlenecks during decryption processes and make the system less responsive.

Data redundancy is the process of storing data in compressed formats to save space. This practice can make database design more complex because data must be decompressed for use, potentially slowing down access times and complicating data retrieval processes.