solved examples of normalization
Normalization is a process to reduce redundancy. By using normalization we can easily remove duplicate entries..
In DBMS the data is stored in the form of table . Each row in DBMS is known as tuple.
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DBMS stands for database management system. DBMS reduce data redundancy as it checks if the data is duplicate and if duplicate then store it as a single record.
Reads , insert , update , and delete . . .
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Normalization is a process to reduce redundancy. By using normalization we can easily remove duplicate entries..
Acid cursor data database field primary & foreign keys procedure & function odbc & oledb normalization trigger
dbms stands for data base management system whereas rdbms is relational data base management system. A Database Management System (DBMS) is collection of software programs which enable large, structured sets of data to be stored, modified, extracted and manipulated in different ways. Whereas Relational Database Managemet System (RDBMS) is a data structured in database tables, fields and records. Each RDBMS tables consist of database table rows.
Normalisation means make table very effective and usable means make table atomic ,unique primary key,not redundancy etc.
discussed
My sql, Microsoft sql , Microsoft Access, dBase, Filemaker pro are the examples for dbms and oracle and sql server are the examples for rdbms
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Some advantages of relational database management systems (RDBMS) over traditional database management systems (DBMS) include data integrity through the use of constraints, normalization to reduce redundancy, support for ACID transactions, and standardized SQL language for data manipulation. RDBMS also offer scalability and flexibility for complex data structures and relationships.
Some examples are SQLServer , MySQL, Orcle
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Microsoft Access, MySQL, Microsoft SQL Server, Oracle, FileMaker Pro, FoxPro, dBASE are all examples of database management systems. A DBMS, or database Management System, is a collection of programs that enables you to store, modify, and extract information from a database.