DBMS Tutorial

Topics Covered

1. Types of Database
2. DBMS vs RDBMS

What is Database?

A database is a collection of data organized and stored in a computer system so it can be accessed and updated efficiently. The data is typically categorized using a database management system (DBMS), a software application that interacts with the database and allows users to create, read, update, and delete data.

Database Management System

DBMS is a powerful tool for storing, organizing and managing large amounts of data. It allows users to access and update data in a centralized location and provides security to protect the data. Whether a small business owner or a large corporation, a DBMS can help you effectively manage your data and make informed decisions.

DBMS Architecture

the system is structured and how different components interact with each other.

The main components of a DBMS architecture include:

1. The database engine is responsible for storing, organizing, and retrieving data from the database.
2. The data definition language (DDL) is used to create and modify the database schema.

Types of Database

There are several different databases, each with unique characteristics and uses. Some common types of databases include:

1. Relational databases: These databases store data in tables, with rows representing individual records and columns representing the attributes of those records. They are the most common type of database and are used in various applications, including financial systems, customer relationship management (CRM) systems, and human resources databases.
2. Object-oriented databases: These databases store data as objects and allow for more complex relationships between data. They are often used in applications that require the storage of complex data structures, such as computer-aided design (CAD) systems and geographic information systems (GIS).
3. Document-oriented databases: These databases store data as documents and are often used for applications that require storing unstructured data, such as social media platforms and content management systems.

There are also other specialized types of databases, such as spatial databases, which are used to store and analyze geographical data, and time-series databases, which are used to store and analyze data collected over time.

Relational and Non-Relational Databases

Relational databases are a type of database that stores data in the form of tables, with rows representing individual records and columns representing the attributes of those records. These databases are based on the relational model Edgar F. Codd developed in the 1970s.

Non-relational databases, also known as NoSQL databases, are a type of database that does not use the relational model. Instead, they use a variety of data storage models, including key-value stores, document stores, column stores, and graph stores.

DBMS Schemas

In a database management system (DBMS), a schema is the structure of the database and defines how data is organized and related to one another. The schema specifies the design of the database, including the tables, columns, data types, and relationships between different data elements.

There are three main types of schemas in a DBMS:

1. Physical schema: This is the lowest level of abstraction and describes the physical organization of the data on a storage device. 
2. Logical schema: This is the next level of abstraction and describes the logical organization of the data in the database. It defines the structure of the tables, columns, and relationships between different data elements.
3. External schema: This is the highest level of abstraction and describes how users view the data. It defines how users interact with the database and specifies which data is exposed.

DBMS Usage

Database management systems (DBMSs) are used in various applications to store, organize, and manage large amounts of data in a structured and efficient way. Some common uses of DBMSs include:

1. Online shopping: DBMSs are used to store and manage customer information, orders, and inventory for online retail websites.
2. Social media platforms: DBMSs store and manage user profiles, posts, comments, and other data for social media platforms.
3. Financial systems: DBMSs are used to store and manage financial data, including transactions, accounts, and customer information, for banks and other financial institutions.

Features & Characteristics of DBMS

Database management systems (DBMSs) have many features and characteristics that make them essential tools for storing, organizing, and managing large amounts of data in a structured and efficient way. Some of the key features and characteristics of DBMSs include the following:

1. Data independence: DBMSs allow users to access and manipulate data without having to know how the data is physically stored or organized. This makes it easy to change the database structure without affecting how users interact with the data.
2. Data security: DBMSs provide many features to protect the data from unauthorized access, such as user authentication, access controls, and encryption.
3. Data integrity: DBMSs enforce rules to ensure that the data is accurate and consistent, such as constraints that prevent data from being entered into the database unless it meets certain conditions.

Advantages & Disadvantages of DBMS

Advantages:

Some of the main advantages of DBMSs include the following:

1. Data security: DBMSs provide many features to protect the data from unauthorized access, such as user authentication, access controls, and encryption.

1. Data integrity: DBMSs enforce rules to ensure that the data is accurate and consistent, such as constraints that prevent data from being entered into the database unless it meets certain conditions.
2. Concurrency control: DBMSs allow multiple users to access and update the database simultaneously and provide mechanisms to ensure that the data remains consistent and accurate.
3. Backup and recovery: DBMSs provide tools for backing up and restoring the database in case of a failure or disaster.

Disadvantages:

Some of the main disadvantages of DBMSs include the following:

1. Complexity: DBMSs can be complex to design, implement, and maintain, especially for large and complex databases.
2. Cost: DBMSs can be expensive to purchase and maintain, especially for large and complex databases.
3. Performance: DBMSs can have performance issues, especially when dealing with large amounts of data or high levels of concurrency.

Why Learn DBMS?

There are several reasons why learning about database management systems (DBMSs) is helpful:

1. Organizing and managing large amounts of data in a structured and efficient way. Learning about DBMSs can help you effectively manage data in your personal or professional life.
2. Data analysis: DBMSs provide various tools for retrieving and analyzing data, which can help make informed decisions and solve problems.
3. Problem-solving skills: Working with DBMSs can help develop analytical and problem-solving skills that are useful in various fields.

Applications of DBMS

Database management systems (DBMSs) are used in various applications to store, organize, and manage large amounts of data in a structured and efficient way. Some typical applications of DBMSs include:

1. Online shopping: DBMSs store and manage customer information, orders, and inventory for online retail websites.
2. Social media platforms: DBMSs store and manage user profiles, posts, comments, and other data for social media platforms.

Audience or Categories of End Users

End users of database management systems (DBMSs) can be grouped into several categories based on their roles and responsibilities:

1. Business users: These are end users who use the database for business-related tasks, such as analyzing sales data, managing customer relationships, or tracking inventory.
2. Analysts: These are end users who use the database to analyze data and extract insights, such as data scientists and business analysts.
3. Developers: These are end users who use the database to develop applications, such as software engineers and database administrators.

Data Abstraction and Data Independence

Data abstraction refers to separating the logical properties of data from the physical implementation of the data. This means that users can interact with the data at a high level of abstraction without knowing how the data is physically stored or organized.

Data independence refers to changing the database's structure without affecting how users interact with the data. 

Database Objects

• Tables: Tables are used to store data in a structured format, with rows representing individual records and columns representing the attributes of those records.
• Indexes: Indexes are used to speed up data retrieval from a table by providing a way to quickly locate specific rows based on the values in one or more columns.

Views: Views are virtual tables derived from one or more tables and can present a different perspective on the data.