it describes the instance of one entity is associated with each instances of an entity
depending upon the range of cardinality constraints are two types
they are
minimum cardinality
maximum cardinality
Consistency constraints in a DBMS ensure that data remains accurate and reliable throughout the database. These constraints can include primary key constraints, foreign key constraints, unique constraints, and domain constraints, all of which help maintain data integrity by enforcing rules that must be followed when inserting or updating data in the database. By upholding consistency constraints, the DBMS helps prevent errors and maintains the overall quality of the data.
Integrity problems in a database management system (DBMS) refer to issues such as data inconsistencies, duplicates, or inaccurate information that may arise due to violations of data integrity constraints. These constraints ensure the accuracy and validity of data stored in the database by enforcing rules such as unique values, referential integrity, and domain constraints. Failure to maintain data integrity can lead to errors, data corruption, and compromised reliability of the information stored in the database.
Entity integrity ensures that each row in a table is uniquely identified by its primary key, preventing duplicate or null values in the key column. Referential integrity ensures that relationships between tables are maintained by enforcing foreign key constraints, preventing orphaned or invalid references between tables. Both constraints are important to maintain data accuracy, consistency, and reliability within a database system.
A schema describes the structure and organization of a database. It defines the tables, attributes, relationships, constraints, and data types that make up the database. It is like a blueprint that ensures data integrity and consistency.
Maintaining the integrity of relationships between tables ensures data accuracy and consistency in the database. It helps prevent orphaned records, data anomalies, and ensures referential integrity through foreign key constraints. This allows for efficient data retrieval and manipulation operations.
explain characteristic of database approachMain Characteristics of the database approach0diggsdigg - Self-describing nature of a database system.a fundamental characteristic of the database approach is that the database system contains not only the database structure and constrains. this definition is stored in the system catalog.A DBMS catalog stores the description of a particular database (e.g. data structures, types, and constraints)the description is called meta-datathis allows the DBMS software to work with different database application.- insulation between programs and data.in traditional file processing, the structures of data files is embedded in the access programs, so many change to the structure of a file may require changing all programs that access this file.by constraint, DBMS access programs do not require such changes in most cases. the structure of data files is stored in the DBMS catalog separately from the access programs.we call this property program-data independenceprogram-data independence: allows changing data structures and storage organization without having to change the DBMS access programs.- data abstraction.the characteristic that allows program-data independence and program-operation independence is called data abstraction.a data model is a type of data abstraction that is used to hide storage details and present the users with a conceptual view of the database.- support of multiple views of the data.each user may see a different view of the database, which describes only the data of interest to that user.a view may be a subset of the database or it may contain virtual data that is derived from the database files but is not explicitly stored.- sharing of data and multi-user transaction processing.allowing a set of concurrent users to retrieve from and to update the database.concurrency control within the DBMS guarantees that each transaction is correctly executed or aborted.recovery subsystem ensures each completed transaction has its effect permanently recorded in the database.OLTP (online Transaction Processing) is a major part of database applications. this allows hundreds of concurrent transactions to execute per second.
sdfsfas
so it role is basically to manage the database
In database management system (DBMS), intension refers to the structure or schema of the database. It defines the overall design and organization of the database, including tables, columns, data types, constraints, and relationships. It serves as a blueprint for creating and managing the database.
A Multi-user DBMS Architecture is one big system of users and queries. The use of these are to over look and execute plans safely and does not violate and integrity constraints.
It is the DBMS that ensures the value of the foreign key matches another table's primary key when referential integrity constraints are enabled within the DBMS
In SQL data consistency is that whenever a transaction is performed, it sees a consistent database. During the transaction, if the database is not consistent, then there are two reasons for it, which are as follows: 1-database failure (software or hardware failure) 2-multiple accesses data consistency makes sure data integrity and vice versa. :)
A database management system (DBMS) is a software tool that allows users to store, retrieve, update, and manage data in a structured way. It provides a convenient way to organize and access data, ensuring data integrity, security, and efficiency. DBMSs are used in a wide range of applications, from simple personal databases to large-scale enterprise systems.
A key is a set of attributes that uniquely identifies an entire tuple, a function dependency allow us to express constraints that uniquely identify the values of certain attribute.
NA_ what are highlights of advanced DBMS what are highlights of advanced DBMS what are highlights of advanced DBMS
no, Java is not dbms.. Java is a programming language Dbms is database
dbms
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.