DBMS and SQL in Telugu

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About Course

The “DBMS and SQL Fundamentals” course offers a comprehensive initiation into the realm of Database Management Systems (DBMS) and Structured Query Language (SQL). In the contemporary landscape, where data is at the heart of decision-making processes across industries, proficiency in managing and querying databases is a vital skill set.

Beginning with the basics, the course delves into the core concepts of database management, elucidating the significance of data organization, various data models, and the pivotal role played by a DBMS in storing, retrieving, and manipulating data efficiently. Students will explore different database models such as relational, hierarchical, network, and object-oriented, gaining a holistic understanding of their functionalities and applications.

Transitioning to SQL, the industry-standard language for interacting with relational databases, the course equips students with practical skills through hands-on exercises and projects. Participants will learn how to execute SQL queries to extract and manipulate data, design and modify database schemas, and enforce data integrity constraints effectively.

By the culmination of the course, students will have acquired a robust foundation in database management principles, developed proficiency in SQL querying techniques, and cultivated the capability to design and manage databases adeptly. This foundational knowledge serves as a springboard for further exploration and specialization in the dynamic field of database management and related domains.

Topics list
1. Introduction to DBMS
2. DBMS vs File Processing System (FPS)
3.DBMS 3-Tier Architecture or Client Server
Architecture
4.DBMS Three Schema or 3-schema Architecture or three level Architecture of database system.
5.Data Independence
6.ACID Properties in DBMS
7.DBMS Database Models or Data Models
8.ER Model and ER Diagrams in DBMS
9.ER Model Keys(Primary key, Foreign Key, Candidate etc) in DBMS
10.Converting ER Diagrams to Table in DBMS
11. Generalization Specialization Aggregation in ER Model
12.Relational Model In DBMS Data Models
13.EF CODD’s 12 Rules for RDBMS
14. Relational algebra in RDBMS
15. Joins in RDBMS relational algebra
16.Relational Calculus in RDBMS
17. Integrity constraints
18. Difference Between DBMS and RDBMS
19.SQL vs NoSQL – Difference between SQL and NoSQL.
20.Database Normalization in DBMS or SQL

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What Will You Learn?

  • Introduction to DBMS
  • Why we need DBMS
  • History of Database Systems
  • Data abstraction and database languages
  • Database schema and Instances
  • Transaction Management
  • Data independence
  • Database Architecture
  • Data Mining & Information Retrieval
  • Database Design Process
  • Database Design Process
  • Basic Terms In Database Design
  • Conceptual Design : Case Study
  • Refining The Conceptual Design
  • Additional Features of ER Model
  • Constraints on Specialization & Generalization
  • Specialization & Generalization Hierarchies & Lattices
  • Able to understand need for Database Management Systems
  • Understand about Entity Relationship Model
  • Understand about Normalization Concepts
  • Understand SQL Fundamentals, Integrity Constraints, Aggregate Functions, Set Operations, Subqueries and Views
  • Topics list
  • -----------------
  • 1. Introduction to DBMS
  • 2. DBMS vs File Processing System (FPS)
  • 3.DBMS 3-Tier Architecture or Client Server
  • Architecture
  • 4.DBMS Three Schema or 3-schema Architecture or three level Architecture of database system.
  • 5.Data Independence
  • 6.ACID Properties in DBMS
  • 7.DBMS Database Models or Data Models
  • 8.ER Model and ER Diagrams in DBMS
  • 9.ER Model Keys(Primary key, Foreign Key, Candidate etc) in DBMS
  • 10.Converting ER Diagrams to Table in DBMS
  • 11. Generalization Specialization Aggregation in ER Model
  • 12.Relational Model In DBMS Data Models
  • 13.EF CODD's 12 Rules for RDBMS
  • 14. Relational algebra in RDBMS
  • 15. Joins in RDBMS relational algebra
  • 16.Relational Calculus in RDBMS
  • 17. Integrity constraints
  • 18. Difference Between DBMS and RDBMS
  • 19.SQL vs NoSQL - Difference between SQL and NoSQL.
  • 20.Database Normalization in DBMS or SQL

Course Content

Introduction to DBMS

  • Introduction to DBMS
    08:37
  • DBMS vs File Processing System (FPS)
    10:54

DBMS Architectures

Data Independence & ACID Properties

DBMS Models & ER Model

DBMS Models & Relational Model – RDBMS – SQL

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