JNTUK R19 B.Tech CSE 2-2 DBMS Material/ Notes PDF Download

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JNTUK R19 B.Tech CSE 2-2 DBMS Material/ Notes PDF Download: Explore the comprehensive JNTUK R19 CSE B.Tech 2-2 DBMS Material to gain a solid understanding of database management. This resource is designed to offer a formal foundation in the relational model of data and the practical application of Relational Algebra. The material delves into the fundamental concepts of SQL, serving as a universal language for database operations. It covers systematic database design approaches, including conceptual design and logical design through normalization, providing a structured overview. Additionally, the material extends insights into the physical design of database systems, encompassing essential topics such as Database indexing techniques and storage methods. For a deeper grasp of these concepts, download the JNTUK R19 CSE B.Tech 2-2 Database Management Systems Material in PDF format, ensuring a valuable resource for students and professionals alike.

JNTUK R19 CSE B.Tech 2-2 Database Management Systems Material – Units

Unit 1 Syllabus PDF Download | JNTUK R19 CSE B.Tech 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 R19 CSE B.Tech 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 R19 CSE B.Tech 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 R19 CSE B.Tech 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 R19 CSE B.Tech 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 R19 B.Tech CSE DBMS Material – Outcomes

• Database Types: Relational databases use tables and keys, while object-oriented databases store data as complex objects.
• SQL Management: SQL is essential for creating, maintaining, and manipulating relational databases.
• ER Model and Normalization: The ER model conceptualizes entities and their relationships; normalization enhances database efficiency.
• Storage and Query Challenges: Data storage involves scalability and integrity; query processing needs optimization strategies.
• Data Management Focus: Efficient data management addresses performance, privacy, security, ethics, and strategic advantage.

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