JNTUK R20 B Tech CSE 2-2 DBMS Material/ Notes PDF Download

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JNTUK R20 B Tech CSE 2-2 DBMS Material/ Notes PDF Download: The JNTUK R20 B Tech CSE 2-2 DBMS Material is a valuable resource for students studying database management systems. It covers important topics such as the relational model of data, SQL basics, and systematic database design approaches. With this material, students can build a strong understanding of how databases work and learn practical techniques for designing and managing them efficiently.

The material also includes explanations of database indexing and storage techniques, which are essential for optimizing database performance. Accessing this material in PDF format allows students to study conveniently and gain the knowledge needed to succeed in their courses and future careers.

JNTUK R20 B Tech CSE 2-2 DBMS Material – Units

Unit 1 Syllabus PDF Download | JNTUK R20 B Tech CSE DBMS Material

Introduction: Database system, Characteristics (Database vs. File System), Database Users(Actors on Scene, Workers behind the scene), Advantages of Database systems, Database applications. Brief introduction of different Data Models; Concepts of Schema, Instance, and data independence; Three-tier schema architecture for data independence; Database system structure, environment, Centralized and Client-Server architecture for the database.

Unit 2 Syllabus PDF Download | JNTUK R20 B Tech CSE DBMS Material

Relational Model: Introduction to the relational model, concepts of domain, attribute, tuple, relation, the importance of null values, constraints (Domain, Key constraints, integrity constraints), and their importance

BASIC SQL: Simple Database schema, data types, table definitions (create, alter), different DML operations (insert, delete, update), basic SQL querying (select and project) using where clause, arithmetic & logical operations, SQL functions(Date and Time, Numeric, String conversion).

Unit 3 Syllabus PDF Download | JNTUK R20 B Tech CSE DBMS Material

Entity Relationship Model: Introduction, Representation of entities, attributes, entity set, relationship, relationship set, constraints, sub-classes, superclass, inheritance, specialization, and generalization using ER Diagrams.

SQL: Creating tables with relationship, implementation of key and integrity constraints, nested queries, sub-queries, grouping, aggregation, ordering, implementation of different types of joins, view(updatable and non-updatable), relational set operations.

Unit 4 Syllabus PDF Download | JNTUK R20 B Tech CSE DBMS Material

Schema Refinement (Normalization): Purpose of Normalization or schema refinement, the concept of functional dependency, normal forms based on functional dependency(1NF, 2NF, and 3 NF), the concept of surrogate key, Boyce-Codd normal form(BCNF), Lossless join and dependency preserving decomposition, Fourth normal form(4NF), Fifth Normal Form (5NF).

Unit 5 Syllabus PDF Download | JNTUK R20 B Tech CSE DBMS Material

Transaction Concept: Transaction State, Implementation of Atomicity and Durability, Concurrent Executions, Serializability, Recoverability, Implementation of Isolation, Testing for Serializability, Failure Classification, Storage, Recovery and Atomicity, Recovery algorithm.

Indexing Techniques: B+ Trees: Search, Insert, Delete algorithms, File Organization and Indexing, Cluster Indexes, Primary and Secondary Indexes, Index data Structures, Hash-Based Indexing: Tree base Indexing, Comparison of File Organizations, Indexes and Performance Tuning

JNTUK R20 B Tech DBMS Material – Outcomes

• Relational databases organize data into tables with keys, while object-oriented databases store data as complex objects.
• SQL is crucial for managing relational databases, and facilitating data creation, maintenance, and manipulation.
• The ER model conceptualizes entities and relationships, while normalization enhances database efficiency by minimizing redundancy.
• Data storage must address scalability and integrity, while query processing requires optimization strategies for efficient data retrieval.
• Efficient data management focuses on performance, privacy, security, ethics, and strategic utilization for organizational success.

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