Introduction
Databases are essential components in the world of information technology. They store, manage, and retrieve data efficiently, enabling various applications to function seamlessly. This section will introduce you to the fundamental concepts of databases, providing a solid foundation for more advanced topics.
Key Concepts
- What is a Database?
A database is an organized collection of data, generally stored and accessed electronically from a computer system. Databases can be complex, containing large amounts of data and supporting multiple users and applications.
- Database Management System (DBMS)
A Database Management System (DBMS) is software that interacts with end-users, applications, and the database itself to capture and analyze data. The DBMS provides various functions that allow entry, storage, and retrieval of large quantities of information and provides ways to manage how that information is organized.
- Data Models
Data models define how data is connected and how it is processed and stored within the system. The most common data models include:
- Hierarchical Model: Data is organized into a tree-like structure.
- Network Model: Data is organized more like a graph and can have multiple parent and child records.
- Relational Model: Data is organized into tables (relations) and is the most widely used model.
- Object-Oriented Model: Data is represented as objects, similar to object-oriented programming.
- Key Terminology
- Table: A collection of related data entries consisting of rows and columns.
- Row (Record): A single, implicitly structured data item in a table.
- Column (Field): A set of data values of a particular type, one for each row of the table.
- Primary Key: A unique identifier for a record in a table.
- Foreign Key: A field (or collection of fields) in one table that uniquely identifies a row of another table.
- Transactions
A transaction is a unit of work that is performed against a database. It is a sequence of operations performed as a single logical unit of work. Transactions must be:
- Atomic: All operations within the transaction are completed; otherwise, the transaction is aborted.
- Consistent: The database must be in a consistent state before and after the transaction.
- Isolated: Transactions are isolated from each other until they are completed.
- Durable: Once a transaction is committed, it remains so, even in the event of a system failure.
Practical Example
Let's consider a simple example of a relational database for a library system.
Library Database Schema
Table: Books | Table: Authors |
---|---|
BookID (Primary Key) | AuthorID (Primary Key) |
Title | Name |
AuthorID (Foreign Key) | Birthdate |
Genre | Nationality |
PublishedYear |
SQL Example
-- Create Authors Table CREATE TABLE Authors ( AuthorID INT PRIMARY KEY, Name VARCHAR(100), Birthdate DATE, Nationality VARCHAR(50) ); -- Create Books Table CREATE TABLE Books ( BookID INT PRIMARY KEY, Title VARCHAR(100), AuthorID INT, Genre VARCHAR(50), PublishedYear INT, FOREIGN KEY (AuthorID) REFERENCES Authors(AuthorID) ); -- Insert Data into Authors Table INSERT INTO Authors (AuthorID, Name, Birthdate, Nationality) VALUES (1, 'J.K. Rowling', '1965-07-31', 'British'), (2, 'George R.R. Martin', '1948-09-20', 'American'); -- Insert Data into Books Table INSERT INTO Books (BookID, Title, AuthorID, Genre, PublishedYear) VALUES (1, 'Harry Potter and the Philosopher\'s Stone', 1, 'Fantasy', 1997), (2, 'A Game of Thrones', 2, 'Fantasy', 1996);
Explanation
- Tables: We have two tables,
Authors
andBooks
. - Primary Key:
AuthorID
inAuthors
andBookID
inBooks
. - Foreign Key:
AuthorID
inBooks
referencesAuthorID
inAuthors
. - SQL Commands: We use
CREATE TABLE
to define the schema andINSERT INTO
to add data.
Exercises
Exercise 1: Define a Simple Database Schema
Define a database schema for a school system with the following tables:
- Students: StudentID, Name, Birthdate, Class
- Classes: ClassID, ClassName, TeacherID
- Teachers: TeacherID, Name, Subject
Solution
-- Create Students Table CREATE TABLE Students ( StudentID INT PRIMARY KEY, Name VARCHAR(100), Birthdate DATE, Class VARCHAR(50) ); -- Create Classes Table CREATE TABLE Classes ( ClassID INT PRIMARY KEY, ClassName VARCHAR(100), TeacherID INT ); -- Create Teachers Table CREATE TABLE Teachers ( TeacherID INT PRIMARY KEY, Name VARCHAR(100), Subject VARCHAR(50) );
Exercise 2: Insert Data into the School Database
Insert the following data into the Students
, Classes
, and Teachers
tables:
- Students: (1, 'Alice', '2005-05-15', '10A'), (2, 'Bob', '2006-08-22', '10B')
- Classes: (1, '10A', 1), (2, '10B', 2)
- Teachers: (1, 'Mr. Smith', 'Math'), (2, 'Ms. Johnson', 'English')
Solution
-- Insert Data into Students Table INSERT INTO Students (StudentID, Name, Birthdate, Class) VALUES (1, 'Alice', '2005-05-15', '10A'), (2, 'Bob', '2006-08-22', '10B'); -- Insert Data into Classes Table INSERT INTO Classes (ClassID, ClassName, TeacherID) VALUES (1, '10A', 1), (2, '10B', 2); -- Insert Data into Teachers Table INSERT INTO Teachers (TeacherID, Name, Subject) VALUES (1, 'Mr. Smith', 'Math'), (2, 'Ms. Johnson', 'English');
Conclusion
In this section, we covered the basic concepts of databases, including what a database is, the role of a DBMS, different data models, key terminology, and the concept of transactions. We also provided practical examples and exercises to reinforce these concepts. Understanding these basics is crucial as we move forward to more complex topics in database management.
Fundamentals of Databases
Module 1: Introduction to Databases
Module 2: Relational Databases
Module 3: Non-Relational Databases
- Introduction to NoSQL
- Types of NoSQL Databases
- Comparison between Relational and Non-Relational Databases
Module 4: Schema Design
- Principles of Schema Design
- Entity-Relationship (ER) Diagrams
- Transformation of ER Diagrams to Relational Schemas