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Last updated: Jan 24, 2022

Introduction

Database Management System is a Software Tool that is used to insert, retrieve, update and manage data in a database. In this category, you will learn everything that you need to know to get started with Database Management System.
Introduction of DBMS (Database Management System) EASY
DBMS stands for Database Management System. It's software to manage and organize databases, allowing storage, retrieval, and manipulation of data.
Transaction Management in DBMS
In this article, we will discuss transaction management in databases, its operations, transaction states, rollback recovery, use cases, and its disadvantages.
Structure of DBMS EASY
This article covers the concept about database management system with its key features and components along with some frequently asked questions.
Three Schema Architecture of DBMS MEDIUM
In this blog, we will discuss all three schema architecture of dbms, including their definition, structure and advantages of this model.
Attributes in DBMS EASY
DBMS (database management system) stores, organizes, retrieves, and manages data. It acts as an interface between the database and the user.
Application of DBMS - Database Management System EASY
Applications of DBMS 1. Railway Reservation System 2. Library Management System 3. Banking 4. Healthcare 5. E-commerce
Characteristics of Database Approach in DBMS EASY
Characteristics of Database Approach in dbms 1. Integrity of Data 2. Data Independence 3. Data Security 4. Sharing of data
Fundamentals of Database Systems: DBMS Tutorial EASY
In this article we will cover the Fundamentals of Database Systems.
What is RDBMS(Relational Database Management System)? EASY
In this article, we will discuss what is RDBMS (Relational Database Management System) along with it's key features, example and benefits.
Recovery Techniques in DBMS EASY
This article discusses recovery techniques in DBMS and types of recovery techniques in DBMS in detail.
Difference between Schema and Instance
This article explains the difference between schema and instance in DBMS, highlighting their definitions, types, and importance in efficient database design.
Difference between File System VS DBMS EASY
Learn what is file system and DBMS. In this article will also cover the key differences between file system vs dbms.
Lossless Decomposition in DBMS EASY
Learn lossless decomposition in DBMS: ensuring no information loss when decomposing a relation into smaller relations, maintaining integrity.
DynamoDB vs MongoDB
In this blog, we will discuss what are DynamoDB and MongoDB and the key differences between them.
What are the different types of DBMS? EASY
In this article, we will discuss about DBMS (Database Management System) and also check out the different types of DBMS and their examples.
Relational Calculus in DBMS MEDIUM
In this article, we will learn about relational calculus in DBMS. We will also learn to write queries based on the two types of relational calculus.
Data Models
This article will discuss the various data models in DBMS. We shall analyse each of the data models.
Database Languages
This blog covers the concept of Database Languages.
DBMS Storage System
In this blog, we will learn about the storage system in DBMS, types of storage devices, memory hierarchy in the computer system.
Data Independence in DBMS EASY
In this post, wet will cover the concept of Data Independence. With the assistance of various examples, we will learn about the ACID properties, what they stand for, and what each property is used for.
Difference between OLTP and OLAP
In this article, we will discuss the difference between OLAP and OLTP, the two famous terminologies which are commonly mistaken for one another.
Query Processing in DBMS EASY
Query processing is a process of translating a user query into an executable form. It helps to retrieve the results from a database.
Database Design Tools
This blog introduces the concept of Database Design Tools and covers the various types of software tools that help design databases efficiently.
Cardinality in DBMS EASY
In this blog, we will discuss about the Cardinality in DBMS, how the mapping cardinalities work, the cardinality types, and how cardinality impacts the database.
Join Dependency in DBMS MEDIUM
In this article, we will cover one of the popular database dependencies, the Join dependency. We will start by discussing what dependencies are.
Data Abstraction in DBMS EASY
What is data Abstraction in DBMS? Data abstraction is hiding unnecessary data from end-user. It masks complex data structures and relationships, making data more accessible.
What is Schema in DBMS MEDIUM
In this blog, we'll get to know Schema in DBMS describes how the data should be organized and it also represents the logical constraints that are applied to the data.
OLAP Operations in DBMS
This blog will discuss OLAP Operations in DBMS. We will further discuss the types of OLAP servers and OLAP cubes.
OLAP Guidelines
In this article, we will discuss the OLAP guidelines, including Codd's rule and its benefits. We will see some real-world use cases along with the pros and cons.
Referential Integrity in DBMS EASY
Reference means the action of mentioning something for some information and integrity means the status of being whole.
Interview Questions on Databases
In this article, we have discussed the database interview questions that are frequently asked. The database interview questions are also sorted based on their difficulty levels.
Joins in DBMS EASY
Combine data from multiple tables with joins in DBMS. Learn types, syntax, and how to extract insights. A comprehensive guide for Joins in DBMS
Conflict Serializability in DBMS MEDIUM
Conflict serializability in DBMS ensures schedules are equivalent to serial ones in terms of conflicting operations' execution order.
Redundancy in DBMS EASY
In this article, we'll explore data redundancy in DBMS with examples and address its problems in DBMS (Database Management System).
Candidate Key in DBMS EASY
Discover the importance of candidate keys in database management systems for ensuring unique and efficient data organization. Essential for Database Design