CLOUD COMPUTING

Detailed explanation-1: -Redundancy exists when the same data are stored unnecessarily at different places. Data anomaly develops when all of the required changes in the redundant data are not made successfully.

Detailed explanation-2: -Problems due to Data Redundancy Redundancy can result in majorly three types of anomalies: Insertion Anomaly. Deletion Anomaly. Updation Anomaly.

Detailed explanation-3: -Data redundancy occurs when the same piece of data exists in multiple places, whereas data inconsistency is when the same data exists in different formats in multiple tables. Unfortunately, data redundancy can cause data inconsistency, which can provide a company with unreliable and/or meaningless information.

Detailed explanation-4: -Redundancy in DBMS is having several copies of the same data in the database. Redundancy in DBMS occurs when the database is not normalized. Redundancy causes insertion, deletion, and updation anomalies. Redundancy can be avoided by normalizing the database, maintaining master data, etc.

Detailed explanation-5: -A DBMS can reduce data redundancy and inconsistency by minimizing isolated files in which the same data are repeated.