Data Modeling and Database Development [2025]

Overview

Data Modeling | Relational Database Design and Development | ER Modeling | Dimensional Modeling | Normalization What you'll learn:

Understand Data Storage in modern IT systems, Databases, Datawarehouse and Data RepositoriesUnderstand how relational databases are built and how they function for modern applicationsUnderstand the concepts of Data modeling and Dimensional Modeling, Build ER diagrams with ConfidenceLearn SQL in Oracle Database and Data Modeling in Visual Paradigm ToolLearn how to translate Business requirements into data models Data Modeling and Database DevelopmentWelcome to our comprehensive course on Data Modeling and Database Development! Whether you're a beginner looking to enter the world of databases or an experienced professional seeking to sharpen your skills, this course is designed to equip you with the knowledge and tools necessary for effective database design and development.Course Highlights:

Introduction to Database Development:

Understand the fundamental concepts and principles of database systems.Learn about different types of databases and their uses in real-world applications.Data Modeling:

Explore the art and science of data modeling.Dive into Entity-Relationship Diagrams (ERDs) and learn how to design efficient and scalable database schemas.Normalization:

Master the process of organizing data to reduce redundancy and improve data integrity.Study the different normal forms and their application in creating optimized database structures.Visual Paradigm Tool:

Gain hands-on experience with the Visual Paradigm tool for data modeling.Learn how to use this powerful tool to effectively create, visualize, and manage your data models.SQL (Structured Query Language):

Get practical experience with SQL using Oracle Database.Learn to write and optimize queries, and understand how SQL interacts with your database schema.Data Warehousing:

Delve into the principles of data warehousing and its role in business intelligence.Explore ETL (Extract, Transform, Load) processes and data integration.Dimensional Modeling:

Learn the techniques of dimensional modeling for designing data warehouses and OLAP systems.Study star and snowflake schemas and their application in business analysis.Data Vault Modeling:

Understand the Data Vault methodology and its approach to modeling data for large, complex environments.Learn about the core components of Data Vault:

hubs, links, and satellites.Capstone Project:

Apply your knowledge in a real-world scenario with a capstone project.Work through a comprehensive project that challenges you to design and implement a database solution from start to finish.Why This Course?Hands-On Experience:

Practical demonstrations and real-world examples using Oracle Database and Visual Paradigm.Comprehensive Coverage:

From foundational concepts to advanced techniques in data modeling and database development.Expert Instruction:

Learn from industry professionals with extensive experience in database design and development.Capstone Project:

Consolidate your learning by solving a real-world problem, giving you practical skills to apply in your career.Join us in this journey to become proficient in database development and data modeling.

By the end of this course, you will have the skills to tackle complex database projects with confidence and clarity. Enroll now and start building your future in data management today

Syllabus

• Introduction to Data Modeling and Databases
Overview of data modeling
Importance and applications of databases
Data modeling vs. database design
• Principles of Data Modeling
Key concepts: Entities, attributes, and relationships
Types of data models: Conceptual, logical, and physical
Normalization and its importance
Entity-Relationship (ER) models
• Advanced Data Modeling Techniques
Dimensional modeling
Star schema vs. snowflake schema
Handling complex data types
• Database Design and Development
Database architecture and components
Designing a relational database
Database development lifecycle
Use of schemas in database design
• Structured Query Language (SQL)
Basics of SQL: DDL, DML, DCL
Advanced SQL queries and functions
Query optimization techniques
• Database Management Systems (DBMS)
Overview of popular DBMS: MySQL, PostgreSQL, Oracle
DBMS vs. NoSQL: Key differences and use cases
• NoSQL Databases
Types of NoSQL databases: Document, key-value, columnar, graph
Use cases for NoSQL databases
CAP theorem and its implications
• Data Security and Compliance
Importance of database security
Techniques for securing databases
Compliance requirements (e.g., GDPR, HIPAA)
• Database Performance Tuning and Optimization
Indexing strategies
Query optimization practices
Caching and its impact on performance
• Best Practices in Database Development and Maintenance
Backup and recovery procedures
Database monitoring and management
Continuous integration and deployment in database systems
• Future Trends in Data Modeling and Database Technologies
Emerging data technologies
The role of AI and machine learning in databases
Cloud databases and their growing importance
• Course Summary and Project
Review of key concepts
Final project: Design and implement a database following best practices

Taught by

Abhinav Rana

Subjects

Programming