Computer Sc - Database Management System (English)

   Friday, February 07, 2025   

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Computer Sc - Database Management System By Lecture Notes together!

Lecture 1: Lecture -1 Introduction to Database Management System

Lecture 2: Lecture -1a Conceptual Designs

Lecture 3: Lecture -2 Conceptual Designs

Lecture 4: Lecture - 3 Relational Model

Lecture 5: Lecture - 4 Relational Model

Lecture 6: Lecture - 5 Structured Query Language

Lecture 7: Lecture - 6 Structured Query Language II

Lecture 8: Lecture - 7 ER Model to Relational Mapping

Lecture 9: Lecture - 8 Functional Dependencies and Normal Form

Lecture 10: Lecture - 9 ER Model to Relational Model Maping

Lecture 11: Lecture - 10 Storage Structures

Lecture 12: Lecture - 11 Indexing Techniques Single Level

Lecture 13: Lecture - 12 Indexing Techniques Multi-Level

Lecture 14: Lecture - 13 Constraints and Triggers

Lecture 15: Lecture - 14 Query Processing and Optimization

Lecture 16: Lecture -15 Query Processing and Optimization II

Lecture 17: Lecture - 16 Query Processing and Optimization - III

Lecture 18: Lecture - 17 Transaction Processing Concepts

Lecture 19: Lecture - 18 Transaction Processing and Database Manager

Lecture 20: Lecture - 19 Foundation for Concurrency Control

Lecture 21: Lecture - 20 Concurrency Control Part - I

Lecture 22: Lecture - 21 Concurrency Control Part - 2

Lecture 23: Lecture - 22 Concurrency Control Part - 3

Lecture 24: Lecture - 23 Concurrency Control Part - 4

Lecture 25: Lecture -24 Distributed Transaction Models

Lecture 26: Lecture - 25 Basic 2-Phase and 3-phase commit protocol

Lecture 27: Lecture - 26 Concurrency Control for Distributed Transaction

Lecture 28: Lecture - 27 Introduction to Transaction Recovery

Lecture 29: Lecture - 28 Recovery Mechanisms II

Lecture 30: Lecture - 29 Recovery Mechanisms III

Lecture 31: Lecture - 30 Introduction to Data Warehousing and OLAP

Lecture 32: Lecture - 31 Introduction to Data Warehousing nad OLAP

Lecture 33: Lecture - 32 Case Study : MYSQL

Lecture 34: Lecture - 33 Case Study ORACLE and Microsoft Access

Lecture 35: Lecture - 34 Data Mining and Knowledge Discovery

Lecture 36: Lecture - 35 Data Mining and Knowledge Discovery Part II

Lecture 37: Lecture - 36 Object Oriented Databases

Lecture 38: Lecture -37 Object Oriented Databases II

Lecture 39: Lecture -38 XML - Introductory Concepts

Lecture 40: Lecture -39 XML Advanced Concepts

Lecture 41: Lecture -40 XML Databases

Lecture 42: Lecture -41 Case Study - Part One Database Design

Lecture 43: Lecture -42 Case Study - Part 2 Database Design