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Database Management Systems (DBMS)

The Database Management Systems (DBMS) course provides an overview of the fundamental principles, design methodologies, and practical applications of contemporary database systems.

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Certificate :

After Completion

Start Date :

10-Jan-2025

Duration :

30 Days

Course fee :

$150

COURSE DESCRIPTION:

  1. The Database Management Systems (DBMS) course provides an overview of the fundamental principles, design methodologies, and practical applications of contemporary database systems.

  2. Key topics include database architecture, relational models, SQL, normalization techniques, transaction management, and security measures.

  3. Participants will develop hands-on experience in creating and managing databases using platforms such as MySQL, PostgreSQL, or Oracle.

  4. The curriculum focuses on addressing real-world challenges, improving database efficiency, and maintaining data integrity and security.

  5. This course is well-suited for students in computer science and information technology, as well as professionals aiming to advance their database management expertise.

CERTIFICATION:

  1. Upon finishing the course, students will receive a Certificate of Completion in Database Management Systems. To be eligible for this certification, participants are required to:

  2. Fulfill all weekly assignments and lab tasks.

  3. Achieve a minimum score of 60% on quizzes, the midterm, and final exams.

  4. Present a final project, which may involve the design and implementation of a relational database system.

  5. This certificate will attest to the participant’s comprehension of DBMS principles and their practical skills in database implementation.

LEARNING OUTCOMES:

By the conclusion of the course, participants will possess the skills to:

  1. participants will acquire a comprehensive understanding of database fundamentals, including the significance of databases within information systems and the ability to distinguish among various database models such as relational, hierarchical, and NoSQL.

  2. They will learn to design relational databases by applying principles of database design, including entity-relationship modeling, and will be equipped to normalize databases to eliminate redundancies and enhance data organization.

  3. Participants will also master SQL, enabling them to construct complex queries for data manipulation and utilize advanced features like joins, subqueries, views, and stored procedures.

  4. They will implement data integrity measures through constraints such as primary and foreign keys, as well as triggers and validation rules, while gaining insights into transaction management, including the ACID properties and techniques for handling concurrency and recovery.

  5. Furthermore, students will analyze and optimize database performance through indexing and query tuning, and will learn to design scalable databases suitable for large applications.

  6. They will gain hands-on experience with database management systems like MySQL, PostgreSQL, and Oracle, and will explore cloud database management in environments such as AWS RDS and Azure.

  7. The course will also cover advanced topics, including NoSQL databases like MongoDB, distributed databases, and data warehousing.

  8. Participants will understand common database vulnerabilities and learn to implement security measures, including user authentication and encryption.

  9. Finally, they will develop practical skills by designing and building real-world databases for various applications, collaborating on projects in team environments.

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Course Curriculum

Introduction to DBMS
  1. Overview of databases and DBMS
  2. Importance and applications of DBMS in real-world systems
  3. Database models: Hierarchical, network, relational, and object-oriented
  4. Key concepts: Data, information, schema, and metadata
Database Design
  1. Database design process and importance
  2. Entity-Relationship (ER) model: Entities, attributes, and relationships
  3. ER diagrams: Symbols, conventions, and best practices
  4. Converting ER diagrams into relational schema
Relational Model
  1. Concepts of relations, tuples, attributes, and keys
  2. Types of keys: Primary, candidate, foreign, and composite keys
  3. Integrity constraints: Entity integrity and referential integrity
  4. Operations on relational models
Structured Query Language (SQL)
  1. SQL basics: DDL, DML, DCL, and TCL commands
  2. Creating, updating, and deleting tables
  3. Data retrieval with SELECT: Filtering, sorting, and grouping
  4. Advanced SQL: Joins, subqueries, and views
Database Normalization
  1. Importance of normalization in reducing redundancy
  2. Normal forms: 1NF, 2NF, 3NF, BCNF
  3. Decomposition of relations and lossless joins
  4. Denormalization: When and why it is needed
Indexing and Optimization
  1. Indexing: Concepts, types (primary, secondary, clustered)
  2. Query optimization techniques in DBMS
  3. Execution plans and performance tuning
  4. Use of indexes in query performance improvement
Deployment
  1. Frontend Deployment:
    • Deploying React apps on platforms like Vercel or Netlify.
  2. Backend Deployment:
    • Deploying Node.js apps on Heroku or Render.
  3. Full Stack Deployment:
    • Managing environment variables.
    • CI/CD pipelines for automated deployments.
Capstone Project
  1. Portfolio Website: Highlight your skills and projects.
  2. To-Do App: A simple CRUD app with React and Node.js.
  3. E-Commerce Platform: Product listings, shopping cart, and user authentication.
  4. Blogging Platform: User authentication, content creation, and comments.

Training Features

Hands-On SQL Practice

Extensive exercises with SQL commands to build and query databases.

Real-World Database Design

Create ER diagrams and schemas for practical use cases.

Interactive Labs Experiment with indexing, normalization, and optimization techniques in virtual labs.

Experiment with indexing, normalization, and optimization techniques in virtual labs.

Project-Based Learning

Build complete database systems like library management or e-commerce platforms.

Comprehensive Coverage of Trends

Learn about NoSQL, cloud databases, and Big Data integrations.

Certification and Portfolio

Earn a certificate upon completion and showcase projects demonstrating database management expertise.

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