Database Tutorial

DBMS, also called Computerized Record-Keeping System, helps in defining, constructing, manipulating the database.

DBMS Tutorial

Learn DBMS with this easy, simple and complete ASP.NET MVC tutorial, quickly. Useful for all beginners, this tutorial explains all the basic and advance concepts, architecture, components, features and functions of DBMS MVC with examples. Freshers, BCA, BE, BTech, MCA, college students will also find it useful to develop notes, for exam preparation, solve lab questions, assignments and viva questions. It will also be useful to students preparing for GATE exam.

Who is this ASP.NET MVC Tutorial designed for?

This tutorial is specially designed for beginners who want to learn, practice and improve their Database Management skills. By the end of this tutorial, you will be able to write your Database queries correctly and confidently.

What do I need to know to begin with?

To be able to work with DBMS you should have fundamental computer knowledge, memory and architecture.

DBMS syllabus covered in this tutorial

This tutorial covers:

Data Model, ER Modeling, EER Model, Functional Dependency, Database Normalization, Structured Query Language, SQL Data Definition Language, Data Manipulation Language, Data Control Language, SQL TCL, DRL / DSL, SQL Joins, Views, Stored Procedure, Trigger, Cursor, Index, SQL Query Processing, Database Transaction Control, Database Concurrency Control, Two-Phase Locking, Database Deadlock, Database Backup and Recovery, Data Warehouse, Data Mining, OLTP and OLAP, CRM and SCM etc.

Ready? Let's start with the tutorial.

Explaining Data & Databases

Data is a collection of data items, such as numbers, words, measurements etc.
Database is an organized collection of related data, such as schema, tables, queries, views etc. that are stored at one place.

Introduction to DBMS

Database Management System (DBMS) is a program that helps to store, modify and extract the information from a database.
DBMS is also known as Computerized Record-Keeping System.
It helps in the process of defining, constructing, manipulating the database.
It has become an integral part of the information system of many organizations because DBMS handles huge amount of data.
DBMS is useful for providing a centralized view of data that can be accessed by multiple users from multiple locations.

Features of DBMS

DBMS supports manipulation and processing of the data.
It provides security and access control of data.
It has ability to view the database from different viewpoints according to the user requirements.
It stores and manages the information in a digital repository established on a server or mainframe system.

Other features of DBMS,

Data Security
Data Independence
Back up and Restore
Transaction and Concurrency Control
Data Security
Data Integrity

File System v/s DBMS

Parameters	DBMS	File System
Meaning	DBMS is a collection of data and set of programs to access those data.	File system is an abstraction to store, retrieve and update a set of files.
Data Redundancy	Repetition of data can be reduced.	Repetition of data cannot be reduced.
Data Inconsistency	Inconsistency of data can be avoided.	Inconsistency of data cannot be avoided.
Data Inconsistency	Inconsistency of data can be avoided.	Inconsistency of data cannot be avoided.
Sharing of Data	Data can be shared easily.	Data cannot be shared easily. There is difficulty in accessing the data.
Data Integrity	The data can be accessed from the database through physically as well as logically.	Data independence cannot be provided to access the data.
Response to Request	It gives fast response to information request because the data are integrated into a single database.	It gives slow response to information request.
Security	It restricts unauthorized access.	Lack of security.
Concurrency Control	Data can be accessed by multiple users at same point of time.	Problem in concurrency control.
Data Recovery	It provides back up of data and restores the database to its original state after database failure.	It does not provide back up and data recovery. The data may loss if the operation is failed.