Purpose and content of

ER Diagrams (Chapter 2 – ER Diagram) Key Concepts

Entity:


A person, place, thing, or event you store data about (e.G., Student, Course).

Attribute:


A detail about an entity (e.G., StudentName, StudentID).

Identifier (Key):


Uniquely identifies each entity (StudentID).

Relationship:


How entities connect (e.G., Student registers for Course).

TypeMeaningExample
SimpleSingle valueName
CompositeCan be splitFullName → FirstName, LastName
MultivaluedHas several valuesSkills = {Java, SQL}
DerivedComputed from
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Essential Concepts: DBMS Keys, Constraints, and Relational Model

Understanding Keys in DBMS

A Key in a Database Management System (DBMS) is an attribute or a set of attributes used to uniquely identify each record (tuple) in a table and to maintain relationships between tables.

Types of Database Keys

  1. Super Key

    A set of one or more attributes that can uniquely identify a record in a table.

    Example: Given Student(Roll_No, Name, Email), both {Roll_No} and {Roll_No, Name} are Super Keys.

  2. Candidate Key

    A minimal Super Key, meaning no unnecessary attribute is included.

    Example:

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Essential Concepts in Database Management Systems (DBMS)

Database Administrator (DBA) Functions

A Database Administrator (DBA) is responsible for managing and maintaining the database system. Key functions include:

  • Ensuring data security.
  • Creating and managing user accounts.
  • Managing storage allocation.
  • Performing backups and recovery procedures.
  • Tuning database performance.
  • Maintaining database integrity.

Specialization and Aggregation in ER Modeling

Specialization is the process of dividing an entity into sub-entities based on specific characteristics (e.g.,

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Database Architecture, Data Models, and Relational Algebra

**i) View of Data:**A database has multiple views to cater to different users.It consists of 3 levels:*Internal Level (Physical View):*Defines how data is physically stored on hardware.*Conceptual Level (Logical View):*Represents the entire database structure without storage details.*External Level (User View):*Provides customized views of data for different users,hiding unnecessary details.**ii) Data Abstraction:**Data abstraction simplifies database complexity by hiding lower-
level details.It

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Essential Database and Data Management Concepts

Database Fundamentals

Core Database Terminology

  • Catalog: A set of schemas that constitute the description of a database.
  • Schema: The structure that contains descriptions of objects created by a user (base tables, views, constraints).
  • Data Definition Language (DDL): Commands that define a database, including creating, altering, and dropping tables and establishing constraints.
  • Data Manipulation Language (DML): Commands that maintain and query a database.
  • Data Control Language (DCL): Commands that control
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Database Keys: Super, Candidate, Primary & 3NF Concepts

Super Key vs. Candidate Key Differences

Understanding the distinctions between Super Keys and Candidate Keys is crucial in database design. Below are their key characteristics:

Super Key Characteristics

  • A Super Key is an attribute (or set of attributes) used to uniquely identify all attributes in a relation.
  • Not all Super Keys can be Candidate Keys.
  • The collection of Super Keys helps establish the criteria for selecting Candidate Keys.
  • In a relation, the number of Super Keys is typically greater than
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