RDBMS are database management systems that store data in tables and define relationships between tables. Normalization is the process of organizing data to minimize redundancy by isolating data into tables and defining relationships between tables. Different normalization forms like 1NF, 2NF, 3NF, BCNF etc. are used to organize data with increasing levels of normalization. Stored procedures, triggers, views, indexes, cursors and other objects are used to manage, query and maintain the database.
RDBMS - Relational Database Management System It is database management system based on relational model , which is used to manage relational database. Relational model is organization of data in tables which are interrelated. Relational Database It is organized collection of tables. Data is stored in tables. Tables are related to each other using one or more fields.
A database management system (DBMS) is system software for creating and managing databases. The DBMS provides users and programmers with a systematic way to create, retrieve, update and manage data.
A DBMS makes it possible for end users to create, read, update and delete data in a database. The DBMS essentially serves as an interface between the database and end users or application programs, ensuring that data is consistently organized and remains easily accessible.Read more.........
RDBMS - Relational Database Management System It is database management system based on relational model , which is used to manage relational database. Relational model is organization of data in tables which are interrelated. Relational Database It is organized collection of tables. Data is stored in tables. Tables are related to each other using one or more fields.
A database management system (DBMS) is system software for creating and managing databases. The DBMS provides users and programmers with a systematic way to create, retrieve, update and manage data.
A DBMS makes it possible for end users to create, read, update and delete data in a database. The DBMS essentially serves as an interface between the database and end users or application programs, ensuring that data is consistently organized and remains easily accessible.Read more.........
SQL vs NoSQL, Structured Query Language (SQL)
More rigid and structured way of storing data
Consists of two or more tables with columns and rows
Relationship between tables and field types is called a schema
A well-designed schema minimizes data redundancy and prevents tables from becoming out-of-sync.
NoSQL: Not only SQL
Greater flexibility than their traditional counterparts
Unstructured data from the web
NoSQL databases are document-oriented
Ease of access
Data Warehouse Physical Design,Physical Data Model, Tablespaces, Integrity Constraints, ETL (Extract-Transform-Load) ,OLAP Server Architectures, MOLAP vs. ROLAP, Distributed Data Warehouse ,
An introduction to database architecture, design and development, its relation to Object Oriented Analysis & Design in software, Illustration with examples to database normalization and finally, a basic SQL guide and best practices
SQL vs NoSQL, Structured Query Language (SQL)
More rigid and structured way of storing data
Consists of two or more tables with columns and rows
Relationship between tables and field types is called a schema
A well-designed schema minimizes data redundancy and prevents tables from becoming out-of-sync.
NoSQL: Not only SQL
Greater flexibility than their traditional counterparts
Unstructured data from the web
NoSQL databases are document-oriented
Ease of access
Data Warehouse Physical Design,Physical Data Model, Tablespaces, Integrity Constraints, ETL (Extract-Transform-Load) ,OLAP Server Architectures, MOLAP vs. ROLAP, Distributed Data Warehouse ,
An introduction to database architecture, design and development, its relation to Object Oriented Analysis & Design in software, Illustration with examples to database normalization and finally, a basic SQL guide and best practices
Object-oriented programming (OOP) is a computer programming model that organizes software design around data, or objects, rather than functions and logic. An object can be defined as a data field that has unique attributes and behavior.
OOP focuses on the objects that developers want to manipulate rather than the logic required to manipulate them. This approach to programming is well-suited for programs that are large, complex and actively updated or maintained. This includes programs for manufacturing and design, as well as mobile applications; for example, OOP can be used for manufacturing system simulation software.