Bancos de dados
Projeto de bancos de dados SQL e NoSQL, consultas, otimização e exercícios práticos.
MongoDB Training Course Overview
This comprehensive MongoDB training course is designed for students learning NoSQL databases from scratch. The course materials are organized into clear, progressive modules.
Ler artigo →MongoDB Quick Reference Guide
A quick reference for common MongoDB operations in both mongosh and Python.
Ler artigo →NoSQL Database Training: MongoDB from Scratch
NoSQL stands for "Not Only SQL" or "NonSQL". It refers to a broad class of database management systems that differ from traditional relational database management systems RDBMS in several key ways:
Ler artigo →MongoDB Training Materials Setup Guide
This guide will help you set up your environment to follow along with the MongoDB training materials.
Ler artigo →MongoDB Training — Detailed Instructor & Student Materials
This file expands the course overview into full, readytoteach training materials: daily lesson plans, lecture notes, demos, labs with stepbystep exercises and solutions, quizzes, project briefs, and assessment rubrics. U
Ler artigo →MongoDB Shell mongosh Complete CRUD Operations Guide
This guide provides comprehensive examples of all CRUD Create, Read, Update, Delete operations in MongoDB using the MongoDB Shell mongosh.
Ler artigo →Python MongoDB Integration Complete Guide
This directory contains comprehensive Python examples for working with MongoDB using PyMongo.
Ler artigo →SQL Learning Course Complete Summary
This comprehensive SQL learning course teaches relational database concepts using MySQL and Python SQLAlchemy, progressing from beginner to advanced levels.
Ler artigo →Getting Started with SQL Learning Course
This guide will help you set up your environment and start learning SQL with MySQL and Python SQLAlchemy.
Ler artigo →Relational Database Learning Course
This comprehensive course teaches relational database concepts using MySQL and Python SQLAlchemy. Students will learn SQL from beginner to advanced levels, with practical examples and handson exercises.
Ler artigo →Lesson 1: Database Setup and Connection
A relational database is a type of database that stores and provides access to data points that are related to one another. It uses tables to organize data into rows and columns, where: Tables represent entities like cus
Ler artigo →Lesson 2: Creating Databases and Tables
Create database with character set specification CREATE DATABASE schoolmanagement CHARACTER SET utf8mb4 COLLATE utf8mb4unicodeci;
Ler artigo →Lesson 3: Data Types and Constraints
SMALLINT: Small integers CREATE TABLE examplesmallint id SMALLINT, 32,768 to 32,767 unsignedid SMALLINT UNSIGNED 0 to 65,535 ;
Ler artigo →Lesson 4: Inserting Data
Insert into students table INSERT INTO students firstname, lastname, email, enrollmentdate VALUES 'John', 'Doe', 'john.doe@email.com', '20240115';
Ler artigo →Lesson 5: Querying Data SELECT
Select all columns from multiple tables SELECT FROM students, courses;
Ler artigo →Lesson 6: Updating and Deleting Data
Learn how to update existing data in tables Understand how to delete records from tables Practice safe data modification techniques Learn about transaction management
Ler artigo →Lesson 7: Joins and Relationships
1. OnetoOne: Each record in Table A relates to exactly one record in Table B 2. OnetoMany: Each record in Table A can relate to many records in Table B 3. ManytoMany: Records in Table A can relate to many records in Tabl
Ler artigo →Lesson 8: Database Design Principles and Normalization
Database design is the process of creating a detailed data model of a database. It involves: Analyzing requirements and understanding business rules Identifying entities and their relationships Designing tables with appr
Ler artigo →Lesson 9: MySQL Database Functions with SQLAlchemy
Database functions are builtin operations that perform specific tasks on data. They can: Transform data format, convert, calculate Extract information dates, substrings, patterns Perform calculations mathematical operati
Ler artigo →Lesson 10: Aggregation Functions
By the end of this lesson, you will be able to: Use basic aggregation functions COUNT, SUM, AVG, MIN, MAX Group data using GROUP BY clauses Filter grouped data with HAVING Understand the difference between WHERE and HAVI
Ler artigo →Lesson 11: Stored Procedures and Functions
Stored procedures are precompiled SQL statements stored in the database that can be executed with a simple call. They offer several advantages:
Ler artigo →Lesson 12: Views and Indexes
By the end of this lesson, you will be able to: Create and manage database views Understand different types of indexes Implement appropriate indexing strategies Use views for security and data abstraction Optimize query
Ler artigo →Lesson 13: Stored Procedures and Functions
By the end of this lesson, you will be able to: Create and execute stored procedures Define userdefined functions Use parameters in procedures and functions Handle errors and exceptions Understand security implications O
Ler artigo →Lesson 14: Triggers
By the end of this lesson, you will be able to: Create and manage database triggers Understand BEFORE and AFTER trigger types Implement INSERT, UPDATE, and DELETE triggers Use triggers for data validation and auditing Ha
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