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Learn Database Management System

Learn Fundamental Concepts of Database Management

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Offer by ATTITUDE ACADEMY    Last updated:- Feb 20, 2024

What you'll learn

  • Introduction to DBMS
  • Why we need DBMS
  • History of Database Systems
  • Data abstraction and database languages
  • Database schema and Instances
  • Transaction Management
  • Data independence
  • Database Architecture
  • Data Mining & Information Retrieval
  • Database Design Process
  • Database Design Process
  • Basic Terms In Database Design
  • Conceptual Design : Case Study
  • Refining The Conceptual Design
  • Additional Features of ER Model
  • Constraints on Specialization & Generalization
  • Specialization & Generalization Hierarchies & Lattices

Requirements

Basic Computer knowledge

Description

Information is not useful if not organized. In database, data is organized in a way that people find it meaningful and useful. Database Management System (DBMS) is used to input, sort, organize and store data.

Database Management System (DBMS) is a Software for data storage & retrieval, for creating user interface (forms), reports, and for administering a DB system (security, access, etc.).  An implementation of a DBMS product to support various information needs in a company includes one or more databases, logic (business rules), backend code and user interface.

An information system that is built from “applying” a DBMS or a database to a specific domain, supports specific information needs.

  • What is DNMS

  • Why we need Database management system 

  • Importants of DBMS?

  • Objectives Of DBMS?

  • The file based system 

  •  Limitations of file based system

  • The Database Approach

  • Three level architecture of DBMS or logical DBMS architecture 

  • Mappings between levels and data independence

  • The need for three level architecture

  • DML Precompiler

  • DDL Compiler 

  • File Manager

  • Database Manager 

  • Query Processor

  • Database Administrator

  • Data files indices and Data Dictionary

  • Commercial Database Architecture 

  •  Data Models 

  • Introduction

  • Objectives

  • The Relational Model 

  • Domains, Attributes Tuple and Relation

  • Super keys Candidate keys and Primary keys for the Relations

  • Relational Constraints 27 

  • Domain Constraint 

  • Key Constraint 

  • Integrity Constraint 

  • Update Operations and Dealing with Constraint Violations 

  • Relational Algebra 31 

  • Basic Set Operation

  • Cartesian Product 

  • Relational Operations 

  • Entity Relationship (ER) Model 38

  • Entities

  • Attributes 

  • Relationships 

  • More about Entities and Relationships

  • Defining Relationship for College Database 

  • E-R Diagram 44 

  • Conversion of E-R Diagram to Relational Database

  • Introduction 

  • Objectives

  • Relational Database Integrity

  • The Keys 

  • Referential Integrity

  • Entity Integrity

  • Redundancy and Associated Problems 62 

  • Single-Valued Dependencies 64 

  • Single-Valued Normalization 66

  • The First Normal Form

  • The Second Normal Form 

  • The Third Normal Form 

  • Boyce Codd Normal Form 

  • Desirable Properties of Decomposition 72 

  • Attribute Preservation 

  • Lossless-join Decomposition

  • Dependency Preservation

  • Lack of redundancy

  • Rules of Data Normalization 74

  • Eliminate Repeating Groups

  • Eliminate Redundant Data

  • Eliminate Columns Not Dependent on Key

 

  • Introduction 80 

  • Objectives 81

  • Physical Database Design Issues 81

  • Storage of Database on Hard Disks 82

  • File Organisation and Its Types 83 

  • Heap files (Unordered files) 

  • Sequential File Organisation

  • Indexed (Indexed Sequential) File Organisation 

  • Hashed File Organisation

  •  Types of Indexes 87

  • Index and Tree Structure 97

  • Multi-key File Organisation99 

  • Need for Multiple Access Paths 

  • Multi-list File Organisation

  • Inverted File Organisation 

  • Importance of File Organisation in Databases 103

 

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Includes

What you'll learn

  • Introduction to DBMS
  • Why we need DBMS
  • History of Database Systems
  • Data abstraction and database languages
  • Database schema and Instances
  • Transaction Management
  • Data independence
  • Database Architecture
  • Data Mining & Information Retrieval
  • Database Design Process
  • Database Design Process
  • Basic Terms In Database Design
  • Conceptual Design : Case Study
  • Refining The Conceptual Design
  • Additional Features of ER Model
  • Constraints on Specialization & Generalization
  • Specialization & Generalization Hierarchies & Lattices

Requirements

Basic Computer knowledge

Description

Information is not useful if not organized. In database, data is organized in a way that people find it meaningful and useful. Database Management System (DBMS) is used to input, sort, organize and store data.

Database Management System (DBMS) is a Software for data storage & retrieval, for creating user interface (forms), reports, and for administering a DB system (security, access, etc.).  An implementation of a DBMS product to support various information needs in a company includes one or more databases, logic (business rules), backend code and user interface.

An information system that is built from “applying” a DBMS or a database to a specific domain, supports specific information needs.

  • What is DNMS

  • Why we need Database management system 

  • Importants of DBMS?

  • Objectives Of DBMS?

  • The file based system 

  •  Limitations of file based system

  • The Database Approach

  • Three level architecture of DBMS or logical DBMS architecture 

  • Mappings between levels and data independence

  • The need for three level architecture

  • DML Precompiler

  • DDL Compiler 

  • File Manager

  • Database Manager 

  • Query Processor

  • Database Administrator

  • Data files indices and Data Dictionary

  • Commercial Database Architecture 

  •  Data Models 

  • Introduction

  • Objectives

  • The Relational Model 

  • Domains, Attributes Tuple and Relation

  • Super keys Candidate keys and Primary keys for the Relations

  • Relational Constraints 27 

  • Domain Constraint 

  • Key Constraint 

  • Integrity Constraint 

  • Update Operations and Dealing with Constraint Violations 

  • Relational Algebra 31 

  • Basic Set Operation

  • Cartesian Product 

  • Relational Operations 

  • Entity Relationship (ER) Model 38

  • Entities

  • Attributes 

  • Relationships 

  • More about Entities and Relationships

  • Defining Relationship for College Database 

  • E-R Diagram 44 

  • Conversion of E-R Diagram to Relational Database

  • Introduction 

  • Objectives

  • Relational Database Integrity

  • The Keys 

  • Referential Integrity

  • Entity Integrity

  • Redundancy and Associated Problems 62 

  • Single-Valued Dependencies 64 

  • Single-Valued Normalization 66

  • The First Normal Form

  • The Second Normal Form 

  • The Third Normal Form 

  • Boyce Codd Normal Form 

  • Desirable Properties of Decomposition 72 

  • Attribute Preservation 

  • Lossless-join Decomposition

  • Dependency Preservation

  • Lack of redundancy

  • Rules of Data Normalization 74

  • Eliminate Repeating Groups

  • Eliminate Redundant Data

  • Eliminate Columns Not Dependent on Key

 

  • Introduction 80 

  • Objectives 81

  • Physical Database Design Issues 81

  • Storage of Database on Hard Disks 82

  • File Organisation and Its Types 83 

  • Heap files (Unordered files) 

  • Sequential File Organisation

  • Indexed (Indexed Sequential) File Organisation 

  • Hashed File Organisation

  •  Types of Indexes 87

  • Index and Tree Structure 97

  • Multi-key File Organisation99 

  • Need for Multiple Access Paths 

  • Multi-list File Organisation

  • Inverted File Organisation 

  • Importance of File Organisation in Databases 103

 

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