one is a validation the other is redundancy clue is in the name
with data redundancy there willbe more wastage of memory space as same type of data willbe saved many times when to want to see the data all duplicate results will come
In database there are number of issues to be handled ,like redundant data, inconsistent data, unorganized data etc. Redundancy of data is the repetitive data that is taking the storage unnecessarily . So the redundant data must be removed or at least reduced.
Reduced data redundancy, Improved data integrity, Shared data, Easier access, Reduced development time
Data redundancy produces unnecessary duplication of data within a database or system, which can lead to increased storage costs and potential inconsistencies. When the same data exists in multiple locations, it can create challenges in maintaining data integrity and accuracy. Additionally, redundant data can complicate data management and retrieval processes, making it harder to ensure that users access the most current and reliable information.
Efficiency of storage redundancy refers to the ability of redundant storage systems to efficiently protect data without impacting performance. It involves minimizing the amount of redundant data stored while maintaining data integrity and availability in case of failures. Efficient storage redundancy helps optimize storage resources and reduce the overhead costs associated with redundancy.
controlling data redundancy
Redundancy means duplicacy of data or repetitive data. In distributed database case the data is stored in different systems . So the answers is yes there can be redundancy of records / data.In distributed database , data is stored in different systems. Since the data is distributed there is redundancy of records.
Data redundancy Lack of data redundancy Data inconsistency Data security
Duplication of data is data redundancy. It leads to the problems like wastage of space and data inconsistency.
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one is a validation the other is redundancy clue is in the name
Data redundancy means storage of data.
In database we store data however the can be redundant. Redundancy means repetitive data that is taking extra storage space . So to reduce or prevent the storage space we should eliminate redundancy or just reduce it.
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.
redundancy
Data redundancy