Conceitos e Modelagem de Banco de Dados Relacional.

Transforming raw data into valuable insights is a crucial skill in today's data-driven world. Every data project begins with database modeling, and this course equips you with the expertise to excel in this essential area.

This course empowers you with a comprehensive understanding of data modeling, covering key stages:

• Requirements Analysis: Learn how to effectively gather and document project needs.
• Conceptual Modeling: Develop a high-level representation of your data.
• Logical Modeling: Translate the conceptual model into a structured data design.
• Physical Modeling: Implement the logical model into a specific database system.

Course Content Breakdown:

1. Introduction to Databases: A Comprehensive Overview

   • Database Concepts: Explore fundamental concepts of databases, with a focus on relational databases.
   • Benefits of Using Databases: Understand the advantages of using a structured database system.
   • Data Analysis Techniques: Discover how to effectively analyze data for meaningful results.
   • Structuring Databases: Learn best practices for organizing your data for optimal performance.
   • Data Sharing & Integration: Explore methods for sharing and integrating data across systems.
   • Normalization: Master data normalization techniques to reduce redundancy and improve data integrity.
   • Normalized Database Systems: Understand the principles of normalized database systems and the MER model.

2. Relationships in Databases

   • Entity-Relationship Model: Learn to model data using the Entity-Relationship (ER) model.
   • Relationship Cardinality: Understand different types of relationships between entities (one-to-one, one-to-many, many-to-many).
   • Self-Referential Relationships: Explore how to model self-referential relationships.

3. Case Study: Practical Data Modeling Application

   • Problem Presentation: Learn how to effectively define and present the problem to be solved.
   • Requirements Analysis: Apply requirements analysis techniques to a real-world scenario.
   • Conceptual Model: Develop a conceptual model to represent the data requirements.
   • Logical Model: Translate the conceptual model into a logical data model.
   • Physical Model: Implement the logical model into a physical database schema.

Important Note: This course focuses on data modeling principles and techniques. While SQL code for the physical model will be provided, this is not a dedicated SQL programming course. You will gain the knowledge to create database structures, but not necessarily advanced SQL query writing skills.