1- Because it records the design decisions about tables and their structures…
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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.
Collection of inter related data is called table.Collection of tables is called database.Field of database is its attribute.
No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.No it is not false. Database fields do have field sizes and data types.
There are two kinds of databases. RDBMS and DBMS. Anything which stores data in rows and columns can be called as a database. Even a text file can be a database if it contains data in this format. XML files also can be treated as database. We can query a database using SQL (Structured Query Language) to extract information from a database. This data can be manipulated in different ways to generate reports or use in your software.
Tables are central to a database. A table stores the data. Everything else in the database, such as queries, forms and reports, use the data from the table. Without tables, a database is useless as it would have no data.Tables are central to a database. A table stores the data. Everything else in the database, such as queries, forms and reports, use the data from the table. Without tables, a database is useless as it would have no data.Tables are central to a database. A table stores the data. Everything else in the database, such as queries, forms and reports, use the data from the table. Without tables, a database is useless as it would have no data.Tables are central to a database. A table stores the data. Everything else in the database, such as queries, forms and reports, use the data from the table. Without tables, a database is useless as it would have no data.Tables are central to a database. A table stores the data. Everything else in the database, such as queries, forms and reports, use the data from the table. Without tables, a database is useless as it would have no data.Tables are central to a database. A table stores the data. Everything else in the database, such as queries, forms and reports, use the data from the table. Without tables, a database is useless as it would have no data.Tables are central to a database. A table stores the data. Everything else in the database, such as queries, forms and reports, use the data from the table. Without tables, a database is useless as it would have no data.Tables are central to a database. A table stores the data. Everything else in the database, such as queries, forms and reports, use the data from the table. Without tables, a database is useless as it would have no data.Tables are central to a database. A table stores the data. Everything else in the database, such as queries, forms and reports, use the data from the table. Without tables, a database is useless as it would have no data.Tables are central to a database. A table stores the data. Everything else in the database, such as queries, forms and reports, use the data from the table. Without tables, a database is useless as it would have no data.Tables are central to a database. A table stores the data. Everything else in the database, such as queries, forms and reports, use the data from the table. Without tables, a database is useless as it would have no data.
1- Because it records the design decisions about tables and their structures… 2-
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.
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.
A data dictionary is a document that describes database objects such as tables, columns, and their corresponding data types. It provides information about the structure, relationships, and constraints of the database schema.
A data dictionary is a collection of metadata about the data elements in a database, where as, a database schema is a design blueprint for how data is structured and organized within a database. The data dictionary describes the data, while the schema defines how the data is stored.
The responsibilities of the DBA and the database designers is to prevent conflict of data between different departments and to ensure the security of the data.
Attributes is one term that can be use. The entire properties of all aspects of a database can be called a data dictionary.
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.
A DBA is responsible for maintaining the data dictionary, which serves as a centralized repository of metadata about the database schema, data definitions, relationships, and constraints. They ensure that the data dictionary is kept up to date, accurate, and accessible for database users and developers. This helps promote data integrity, consistency, and efficient data management within the database environment.
Metadata is data that provides information about other data, such as the structure, format, and relationships of data elements. A data dictionary, on the other hand, is a centralized repository that defines and describes the data elements within a database, including their definitions, attributes, and relationships. In summary, metadata is broader and encompasses various types of information about data, while a data dictionary specifically focuses on defining and documenting the data elements within a database.
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.
This position takes the business requirements and models a database based on the business's needs. Does the database need to be in real-time? What kind of data will it hold? Sensitive? There's hundreds of factors that determine how the database is designed, updated, protected. Each business is different.