Master this deck with 16 terms through effective study methods.
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Data is raw facts; information is data with context and meaning.
Issues include data redundancy, inconsistency, and lack of central management.
A DBMS manages large amounts of data and separates data from application programs.
The unnecessary duplication of data across different files or applications.
The DBA manages the physical database and authorizes access to it.
It allows users to interact with data without needing to know how it is stored.
Includes self-description, data abstraction, and support for multiple views.
Changes to data structure do not require changes to all programs accessing that data.
A high-level model that represents data as users perceive it, often using ERDs.
Includes reduced redundancy, improved data consistency, and enhanced data sharing.
Complexity can make it difficult for users to fully utilize its functionalities.
When the database and applications are simple and do not require multi-user access.
It stores metadata, which describes the structure and constraints of the database.
Logical designers focus on data elements; physical designers implement the data model.
It refers to the validity and consistency of the data within the database.
A failure can affect all users relying on the same database resources.