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dsa handwritten notes

DBMS Handwritten Notes

149.00

(1 customer review)

Unlock the full power of creating Database Management Systems with this carefully created set of handwritten notes. Whether you’re just starting out or you’re already experienced in coding, these notes will give you a solid base and take your Database Management System skills to the next level.

Benefits:

  1. Clear and Neat Writing
  2. Easiest Explanation
  3. Best for Exams Preparation
  4. Cover Almost Python Topics
  • Pages: 56
  • Chapters: 11
  • Syllabus: Find Syllabus Below
Category:

Description

Syllabus Included in this Ebook👇

 

Chapter 1: Introduction to DBMS

  • Basic concepts of databases
  • Database management system architecture
  • Data Models
  • Advantages and disadvantages of using databases

Chapter 2: Entity-Relationship (ER) Model

  • Entities, attributes, and relationships
  • Entity-relationship diagrams (ERDs)
  • Cardinality and participation constraints
  • Keys in the ER model

Chapter 3: Relational Data Model

  • Relational schema
  • Relational Algebra
  • Tuple and domain relational calculus
  • SQL Basics

Chapter 4: Normalization

  • Functional dependencies
  • First, second, and Third Normal Forms
  • Boyce-Codd Normal Forms
  • Multivalued dependencies

Chapter 5: Query Optimization and Execution

  • Query processing and parsing
  • Query optimization techniques
  • Indexing and hashing
  • Execution plans and cost estimation

Chapter 6: Transaction and Concurrency Control

  • ACID properties of transactions
  • Schedules and serializability
  • Concurrency control and techniques
  • Deadlocks and their prevention

Chapter 7: Crash Recovery and Backup

  • Recovery Techniques (undo, redo logging)
  • Recovery manager and buffer management
  • Backup and restore procedures

Chapter 8: Database Security and Authorization

  • Security threats and countermeasures
  • User authentication and authorization
  • Access control and privileges

Chapter 9: Distributed Databases

  • Concepts of distributed databases
  • Data Fragmentation
  • Distributed query processing and optimization

Chapter 10: NoSQL Databases

  • Overview of NoSQL databases
  • Key-value stores, document stores, column-family stores, graph databases
  • Comparison with traditional relational databases

Chapter 11: Big Data and Data Warehousing

  • Introduction to big data and its challenges
  • Data warehousing concepts
  • Extract, Transform, Load (ETL) processes

1 review for DBMS Handwritten Notes

  1. Dhiraj

    Clear and Neat Writing
    Easiest Explanation
    Best for Exams Preparation
    Cover Almost Python Topics

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