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∙ 15y ago
Data redundancy can lead to storage inefficiency, as the same information is stored multiple times. It can also increase the risk of inconsistencies or errors in the data, as updates may not be made consistently across all duplicates. Additionally, data redundancy can make data management and maintenance more complex and time-consuming.
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Disadvantages of relational database model?
Lack of scalability: Relational databases can struggle with scalability as the data grows in size and complexity. Performance issues: Join operations and complex queries can lead to slower performance in relational databases. Data redundancy: Normalization in relational databases can result in storing data in multiple tables, leading to redundancy and inefficiency.
What are the advantages disadvanteges of using database?
Advantages of using a database include efficient data organization, easy data retrieval, and data security. However, disadvantages can include high initial setup costs, potential for data redundancy, and complexity of managing and maintaining the database system.
When the same data are stored in many places?
Data redundancy
A group of related fields is known as data redundancy?
This statement is incorrect. Data redundancy refers to storing the same piece of data in multiple places, leading to inefficiency and inconsistency. A group of related fields is known as a database or a record in a database.
Disadvantages of Hierarchical database model?
Some disadvantages of the hierarchical database model include complexity in representing certain types of relationships, limited flexibility in querying data due to its rigid structure, and potential data redundancy issues as each child can only have one parent record.
What are the disadvantages of data redundancy?
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
How can a primary key be useful in controlling data redundancy?
controlling data redundancy
DO you have redundancy of records in distributed DBMS?
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.
What are a couple of problems whit a traditional file environment?
Data redundancy Lack of data redundancy Data inconsistency Data security
What is data redundancy and problems associated with it?
Duplication of data is data redundancy. It leads to the problems like wastage of space and data inconsistency.
What are three types of redundancy checks used in data communications?
coding redundancy interpixel redundancy psycovisual redundancy
What is difference between the data validation and data redundancy?
one is a validation the other is redundancy clue is in the name
What is data redundacy?
Data redundancy means storage of data.
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.
What is an example of data redundancy?
nothing!!
Which redundancy technique is best fulfilled by a thorough and periodic backup strategy?
Data redundancy
Storing the same data in more than one place is called?
Redundancy.
