Difference Between DBMS

Difference between DBMS and RDBMS Slno DBMS RDBMS 01. DBMS stands for ‘Database Management System’. RDBMS stands for ‘Relational Database Management System’. 02. Here, data is stored in the file format. Here, data is stored in table format . 03. Data is stored comparatively in small quantity. Data is stored Read more…

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Client-Server Database

Introduction of Client-Server Database Client-server architectures are common in many modern database systems. They form the basis for various applications, ranging from enterprise systems to web applications and mobile apps that rely on accessing and manipulating data stored in a centralized database. The client-server database architecture is a foundational model Read more…

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Object Oriented Databases (OODBMS)

Introduction of OODBMS Object-oriented databases(OODBMS) offer a way to model and manage complex data structures more naturally, aligning closely with object-oriented programming paradigms.  Definition Object-oriented databases (OODBMS) are a type of database management system that stores data in the form of objects, encapsulating both data and methods (functions or procedures) Read more…

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Distributed DBMS(DDBMS)

Introduction of DDBMS Distributed databases (DDBMS) play a crucial role in modern computing, having higher scalability, availability, and performance in handling large volumes of data across geographically dispersed locations. Definition  Distributed databases store data across multiple physical or logical locations, providing improved scalability, fault tolerance, and performance by distributing data Read more…

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File Organisation in DBMS

Definition File organization refers to the way or techniques that give how the data is structured and stored within computer files or database files. Characteristics There are various file organization methods exist to store data in files, each designed to optimize data retrieval, storage efficiency, and ease of access. File Read more…

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Normalization

Introduction Definition Normalization is the process of organizing data properly and efficiently to minimize data redundancy and inconsistencies in the database by dividing the larger or complex or redundant database into simpler and smaller ones and also linking them using proper relationships as per requirements. Characteristics The process of Normalization occurs Read more…

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Redundancy and Anomaly

Introduction Redundancy and anomalies are issues that can arise in the design and management of databases. They can lead to data inconsistencies, inefficiencies, and difficulties in maintaining data integrity.  Proper database design, normalization, and the use of integrity constraints are essential practices to minimize these issues in a DBMS. Redundancy Read more…

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Terminology in DBMS

Primary Keys A Primary key is a unique value in a column/field for a record in a table. It serves the data integrity and efficient data retrieval. Each value within the primary key column/field must be unique. No two/more records can have the same primary key value. Primary key columns Read more…

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Relational Algebra

Introduction Relational Algebra is a theoretical foundation for the query languages(SQL) used in relational database management systems (RDBMS). Definition Relational algebra is a formal system used to manipulate relations (tables) in relational databases. Characteristics Relational algebra provides a foundation for expressing queries and transformations on relational databases. It’s a mathematical Read more…

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RDBMS Constraints

Introduction Database Constraints are typically enforced by the database management system (DBMS) and play a crucial role in ensuring data consistency and accuracy. Definition Database constraints are rules and restrictions applied to data in a database to ensure data integrity, accuracy, and consistency.  Characteristics Database constraints define certain conditions that Read more…

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