yes
Efficient databases make storing and retrieving of data fast and easy. The characteristics of such databases are, having input constraints, implementing use of unique keys for fields, avoiding data redundancy and maintaining data integrity.
It could be, and could not be at the same time. I'm going to use SQL for an example. Say you have a website, and a user signs up. You would have a users table, first off to store the users information. Then, you would have another table with the actual content that that user has stored. The repeating field would be the USERID. But, if you have the same data stored twice in two different tables, that's a bad thing.
one is a validation the other is redundancy clue is in the name
Databases are somewhat similar to spreadsheets, but databases are more powerful than spreadsheets because of their ability to manipulate the data.
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
problems associated with redundancy in data base,Redundancy occurs in same data multiple time tends to several problems some times redundancy controlling is necessary to improve the performance of the query.
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.
no annual fee
Because 4nf minimize the redundancy as well as make storage management..
Humans produce animals with certain desirable characteristics through selective breeding.
The most desirable characteristic would be its effect on sales and brand perception. As far as specifics, it'd be helpful to know whether you are marketing to the medical industry or to consumers.
Efficient databases make storing and retrieving of data fast and easy. The characteristics of such databases are, having input constraints, implementing use of unique keys for fields, avoiding data redundancy and maintaining data integrity.
Redundancy is the state where duplicate rows of the same data is available in a database. Lets say we have an employee database which contains 2 rows of the following data Emp num Emp Name Age 12345 John 25 12345 John 25 This is data redundancy. Data redundancy can be avoided by the use of keys in tables. If in the employee table we had defined a primary key condition for employee number, then the system would not allow us to enter 2 rows of the same data.
Data redundancy
File system data management (or flat-file databases) served as the only method of file storage and retrieval before the advent of database management systems (such as relational databases). While retaining some use, flat-file databases suffer from poor accessibility, data redundancy, lack of standard file access and the inability to organize data.
c They maintain hierarchical data structures. This statement is inaccurate because relational databases follow a tabular structure, not a hierarchical one.
coding redundancy interpixel redundancy psycovisual redundancy