data dictionary- Used to store schema descriptions and other information such as design decisions, application program descriptions, user information, usage standards, etc. Active data dictionary is accessed by DBMS software and users/DBA. Passive data dictionary is accessed by users/DBA only.
A data dictionary contains a list of all files in the database, the number of records in each file, and the names and types of each field. Data dictionaries do not contain any actual data from the database, only bookkeeping information for managing it. Without a data dictionary, however, a database management system cannot access data from the database.
data dictionary
data dictionary
schema. It outlines the structure of the database, including tables, fields, data types, and relationships between tables. This helps to organize and manage the data effectively.
Data Definition Lenguage (DDL) Data Manipulation Lenguage (DML) Data Dictionary
data dictionary and transaction log
A data dictionary in a DBMS is a centralized repository that stores metadata and information about the database, such as data types, field lengths, relationships, and constraints. It helps in maintaining consistency and integrity of the database by providing a reference for developers, administrators, and users to understand the structure and content of the database. Additionally, it assists in data quality management, helps in data governance, and supports database documentation and maintenance tasks.
A data dictionary is structured data about data (metadata), typically employed by a DBMS, either passively (requiring manual, independant updating), or actively (automatically updated alongside and prior to DBMS updates). Data dictionarie's don't really apply to the C++ language as such, but you can model a data dictionary using C++ wherever you need structured data about data within your database programs.
Active data dictionary is constantly updated and reflects real-time changes within a database or system, while passive data dictionary is static and does not change unless manually updated. Active data dictionary is dynamic and integral to system operations, providing current information about data elements, relationships, and structures. Passive data dictionary is more archival in nature, serving as a reference for historical data definitions and structures.
DBMS is database management system and it stores data that are related. DBMS maintains data security and integrity as well.
Basic Characteristics of DBMS• Represents complex relationship between data• Controls data redundancy.• Enforces user defined rules.• Ensures data sharing.• It has automatic and intelligent backup and recovery procedures.• It has central dictionary to store information.• Pertaining to data and its manipulation.• It has different interfaces via which user can manipulate the data.• Enforces data access authorization.
Data Dictionary Systems (Data Repository Systems) · Information Repository Systems · Application Development Environments · Communications Software Anonymous
Three types of DBMS (Database Management Systems) include relational DBMS, object-oriented DBMS, and NoSQL DBMS. Relational DBMS organizes data into tables with rows and columns, object-oriented DBMS stores data as objects and classes, and NoSQL DBMS handles unstructured and semi-structured data with flexible schemas.