its called data redundancy.
In database the data is stored in tables called database tables. These tables have rows and columns. Each row is called a tuple.
the collection of data and tables means that database management system that is called DBMS
Yes, there are several algorithms for data compression, that is, store data in less space than it usually needs. However, not all data can be encrypted. Encryption basically takes advantage of some sort of repetition in data; once all repetition has been eliminated, data can be encrypted no more.Yes, there are several algorithms for data compression, that is, store data in less space than it usually needs. However, not all data can be encrypted. Encryption basically takes advantage of some sort of repetition in data; once all repetition has been eliminated, data can be encrypted no more.Yes, there are several algorithms for data compression, that is, store data in less space than it usually needs. However, not all data can be encrypted. Encryption basically takes advantage of some sort of repetition in data; once all repetition has been eliminated, data can be encrypted no more.Yes, there are several algorithms for data compression, that is, store data in less space than it usually needs. However, not all data can be encrypted. Encryption basically takes advantage of some sort of repetition in data; once all repetition has been eliminated, data can be encrypted no more.
Data in a database table can be inserted by the help of Data Manipulation Language, by writing query in language like Sql.
a data can be inncorrect if the user is impatient.
In database the data is stored in the form of a table. A table can be seen as some number of rows and columns. And the row of the database table is called a record .
A request for data from a database is called a query. It is a command that is used to retrieve specific information from the database based on certain criteria.
A detailed description of all data used in the database is called a data dictionary. It centralizes information about the structure of the database, including data types, relationships, constraints, and metadata. This resource is crucial for understanding and managing the database effectively.
Database is defines as a collection related records/data. When the data in the database is grouped based on some classification it is called database clustering.
The database we use in our daily life is called as active database . The data that is stored in the database which is further stored on the cloud is called cloud database.
The information collected from an observation is called data.
data
The system database that contains descriptions of the data in the database is called the data dictionary or metadata repository. It stores information about the structure, definition, and organization of data elements within the database to help users and systems work with the data effectively.
"Metadata" defines the structure of the data stored.
In database the data is stored in tables called database tables. These tables have rows and columns. Each row is called a tuple.
The process of eliminating repetitive information within a database is called data normalization. It involves organizing data in a database to reduce redundancy and improve data integrity, making the database more efficient and easier to maintain.
The access object that holds data in your database is called a table. It stores it in rows and columns.