data warehouse
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.
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.
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.
A special database of cleansed data and metadata is commonly referred to as a data warehouse. Data warehouses aggregate and store large volumes of structured and unstructured data from various sources, ensuring that it is cleansed, organized, and optimized for analysis and reporting. The metadata within a data warehouse provides important context about the data, such as its origin, transformation, and relationships, facilitating easier access and understanding for users.
its called data redundancy.
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.
In database the data is stored in tables called database tables. These tables have rows and columns. Each row is called a tuple.
"Metadata" defines the structure of the data stored.