22319 Database Management System Notes PDF | MSBTE CO Database Management System All Units Notes PDF

22319 Database Management System Notes PDF | MSBTE CO Database Management System All Units Notes PDF

               MSBTE 22319 Database Management System Notes | MSBTE Diploma Engineering All Units Notes are comprehensive study resources provided by (www.diplomasolution.com)MSBTE 22319 Database Management System notes are specialized study materials crafted by the (www.diplomasolution.com). This Notes is Created by Diploma Solution Team (www.diplomasolution.com). 

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Database Management System (DBMS) Overview:

1. Introduction to DBMS:

  • What is a Database? Why uses a DBMS?
  • Advantages of DBMS over file systems.
  • Three levels of data abstraction: physical, logical, and view.

 

2. Database Models:

  • Relational Model: Concept of tables (relations), tuples, and attributes.
  • Hierarchical, Network, and Object-Oriented Models.
  • ER (Entity-Relationship) model.

 

3. SQL (Structured Query Language):

  • DDL (Data Definition Language): CREATE, ALTER, DROP.
  • DML (Data Manipulation Language): SELECT, INSERT, UPDATE, DELETE.
  • Queries, Joins, Functions.

 

4. Normalization:

  • Purpose: Reduce redundancy, avoid undesirable characteristics.
  • 1NF, 2NF, 3NF, BCNF.

 

5. Transactions and Concurrency Control:

  • What is a transaction? ACID properties.
  • Concurrency control techniques: Locking, Timestamp ordering, Deadlock handling.

 

6. Database Recovery Systems:

  • Techniques for recovery and atomicity: Shadow paging, logging.
  • Failures and recovery, backup strategies.

 

7. Database Security:

  • Data Integrity, User Authentication.
  • Granting/revoking privileges.

 

8. Distributed Databases:

  • Data distribution, Transactions, Concurrency control.

 

9. Data Warehousing and Data Mining:

  • Basics of data warehousing: ETL processes, OLAP operations.
  • Introduction to data mining and its techniques.

 

10. NoSQL:

  • Types: Document, column-store, key-value pair, graph.
  • Advantages and use cases.

 

11. Emerging Trends:

  • Cloud databases, Big Data.
  • Role of databases in AI, IoT.

 

12. Case Studies:

  • Real-world applications and challenges in DBMS.


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