What you'll learn
Describe the fundamental elements of relational database management systems.
Explain the basic concepts of relational data model, entity-relationship model, relational database design, relational algebra and SQL.
Design ER-models to represent simple database application scenarios
Improve the database design by normalization.
Requirements
No Prerequisites.
Description
Course Objectives
The objective of the course is to present an introduction to database management systems, with an emphasis on how to organize, maintain and retrieve - efficiently, and effectively - information from a DBMS.
Learning Outcomes
Upon successful completion of this course, students should be able to
• Describe the fundamental elements of relational database management systems
• Explain the basic concepts of relational data model, entity-relationship model, relational database design, relational algebra and SQL.
• Design ER-models to represent simple database application scenarios
• Convert the ER-model to relational tables, populate relational database and formulate SQL queries on data.
• Improve the database design by normalization.
• Familiar with basic database storage structures and access techniques: file and page organizations, indexing methods including B tree, and hashing.
UNIT- I
Database System- concepts and architecture: Data modelling using the Entity Relationship (ER) modelling and Enhanced Entity Relationship (EER) modelling, Specialization and Generalization.
UNIT-II
The Relational Model: Relational database design using ER to relational mapping, Relational algebra and relational calculus, Tuple Relational Calculus, Domain Relational Calculus, SQL.
UNIT-III
Database design theory and methodology: Functional dependencies and normalization of relations, Normal Forms, Properties of relational decomposition, Algorithms for relational database schema design.
UNIT-IV
Transaction processing concepts: Schedules and serviceability, Concurrency control, Two Phase Locking Techniques, Optimistic Concurrency Control, Database recovery concepts and techniques.
UNIT-V
Data Storage and indexing: Single level and multi level indexing, Dynamic Multi level indexing using B Trees and B+ Trees, Query processing and Query Optimization, Introduction to database security.
Important information before you enroll!
Once enrolled, you have unlimited, 24/7, lifetime access to the course (unless you choose to drop the course during the first 30 days).
You will have instant and free access to any updates I'll add to the course - video lectures, additional resources, quizzes, exercises.
You will benefit from my full support regarding any question you might have 7 days a week.
Check out the promo video at the top of this page and some of the free preview lectures in the curriculum to get a taste of my teaching style and methods before making your decision.
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ALL THE BEST FOR YOUR BRIGHT FUTURE.
Who this course is for
Academic Students
Competitive Exams Aspirants
GATE CS/IT
Willing to Learn
Screenshots

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