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Key Terminologies used in Relational Database

 1. Database


Definition:

A database is a structured collection of data stored and managed electronically. It allows for efficient data retrieval, manipulation, and management.

Characteristics:

- Structured: Data is organized in tables with rows and columns.

- Persistent: Data remains available over time.

- Accessible: Allows querying and manipulation through a Database Management System (DBMS).


2. Database Management System (DBMS)

Definition:

A DBMS is software that facilitates the creation, manipulation, and management of databases. It provides an interface for users and applications to interact with the data.

Characteristics:

- Data Definition: Allows creation and modification of database schemas.

- Data Manipulation: Supports querying, updating, and deleting data.

- Data Security: Manages user access and data integrity.

 3. Table (Relation)

Definition:

A table, also known as a relation, is a collection of rows and columns used to store data in a relational database.

Characteristics:

- Rows: Each row represents a single record or entity.

- Columns: Each column represents an attribute of the entity.

- Schema: Defines the structure, including column names and data types.


 4. Row (Tuple)

Definition:

A row, or tuple, represents a single record in a table. It is a set of related data values corresponding to the columns of the table.

Characteristics:

- Unique: Each row represents a unique instance of the entity.

- Data Integrity: Must conform to the table schema.

5. Column (Attribute)

Definition:

A column, or attribute, represents a data field in a table. It defines a specific type of data that each row in the table can hold.

Characteristics:

- Data Type: Specifies the kind of data stored, such as integer, text, or date.

- Constraints: Includes rules such as NOT NULL or UNIQUE.


 6. Primary Key

 Definition:

A primary key is a unique identifier for each record in a table. It ensures that no two rows have the same key value and cannot be NULL.

 Characteristics:

- Uniqueness: Guarantees that each record can be uniquely identified.

- Non-nullable: Cannot have NULL values.

- Single Key: Each table can have only one primary key.


 7. Foreign Key

 Definition:

A foreign key is a column or set of columns in one table that uniquely identifies a row in another table. It establishes a relationship between two tables.

 Characteristics:

- Referential Integrity: Ensures that the value in the foreign key column matches a value in the primary key of the referenced table.

- Nullable: Can accept NULL values, indicating optional relationships.

 8. Unique Key

 Definition:

A unique key ensures that all values in a column or a set of columns are distinct from one another across the table.

 Characteristics:

- Uniqueness: No two rows can have the same value for the unique key column(s).

- Nullable: Unlike primary keys, unique keys can have NULL values.

 9. Index

 Definition:

An index is a database object that improves the speed of data retrieval operations on a table at the cost of additional storage and maintenance overhead.

 Characteristics:

- Speed: Enhances query performance by allowing quicker searches.

- Types: Includes unique, composite, and full-text indexes.

- Maintenance: Indexes need to be updated when the table data changes.


 10. Schema

 Definition:

A schema is the structure of a database, including tables, columns, data types, relationships, and constraints.

 Characteristics:

- Design: Defines the organization and design of the database.

- Documentation: Provides a blueprint for database creation and modification.

 11. Normalization

 Definition:

Normalization is the process of organizing data to reduce redundancy and improve data integrity. It involves dividing a database into two or more tables and defining relationships between them.

 Characteristics:

- Normal Forms: Includes First Normal Form (1NF), Second Normal Form (2NF), Third Normal Form (3NF), and Boyce-Codd Normal Form (BCNF).

- Reduction of Redundancy: Eliminates duplicate data.

- Dependency: Ensures that data dependencies are logical.

 12. Denormalization

 Definition:

Denormalization is the process of combining tables to improve read performance at the cost of increased redundancy and potential write anomalies.

 Characteristics:

- Performance: Enhances query performance by reducing the number of joins needed.

- Redundancy: Introduces some level of data duplication.


 13. Query

 Definition:

A query is a request for data or information from a database using a query language, such as SQL (Structured Query Language).

 Characteristics:

- Data Retrieval: Allows users to select and display data from one or more tables.

- Data Manipulation: Includes INSERT, UPDATE, and DELETE operations.


 14. Transaction

 Definition:

A transaction is a sequence of one or more SQL operations executed as a single unit of work. Transactions ensure that operations are completed successfully or not executed at all.

 Characteristics:

- ACID Properties: Ensures Atomicity, Consistency, Isolation, and Durability.

- Commit/Rollback: Either commits all changes or rolls back to the previous state if an error occurs.

 15. View

 Definition:

A view is a virtual table based on the result of a query. It provides a way to present data in a particular format without storing it separately.

 Characteristics:

- Virtual Table: Does not store data physically but displays data from underlying tables.

- Security: Restricts user access to specific data.


 Quick Recap:

- Database: Structured data storage.

- DBMS: Software for managing databases.

- Table (Relation): Collection of rows and columns.

- Row (Tuple): Single record in a table.

- Column: Data field in a table.

- Primary Key: Unique identifier for records.

- Foreign Key: Links tables.

- Unique Key: Ensures distinct values.

- Index: Speeds up data retrieval.

- Schema: Database structure.

- Normalization: Reduces redundancy.

- Denormalization: Enhances performance.

- Query: Request for data.

- Transaction: Group of operations.

- View: Virtual table for data presentation.



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