ycliper

Популярное

Музыка Кино и Анимация Автомобили Животные Спорт Путешествия Игры Юмор

Интересные видео

2025 Сериалы Трейлеры Новости Как сделать Видеоуроки Diy своими руками

Топ запросов

смотреть а4 schoolboy runaway турецкий сериал смотреть мультфильмы эдисон
Скачать

Flutter #26 SQL vs NoSQL Databases Explained | How Relations Work + Firebase Overview

Автор: Ahmed saber

Загружено: 2025-08-27

Просмотров: 46

Описание: Video Chapters / Headlines
1. Introduction

Quick overview of why we need databases.

Mention SQL (relational) vs NoSQL (non-relational).

Introduce Firebase as a real-world example of NoSQL.

2. What is SQL (Relational Database)?

Data stored in tables (rows + columns).

Each table has a schema (fixed structure).

Uses Primary Keys and Foreign Keys to connect data.

Example:

A Users table with user_id.

An Orders table with order_id and user_id as a foreign key → One-to-Many relation.

SQL ensures data integrity with constraints.

3. What is NoSQL (Non-Relational Database)?

Flexible schema → documents or key-value pairs.

Data often stored as JSON-like objects.

No strict schema, easier to scale horizontally.

Example (using Firebase/Firestore style):

A users collection where each document has user data.

An orders collection where each order has a userId field.

The relation is maintained at the application level, not enforced by the database.

4. SQL vs NoSQL Key Differences

Schema: Fixed in SQL, flexible in NoSQL.

Relations: SQL enforces with foreign keys, NoSQL uses references or embedding.

Scaling: SQL → vertical, NoSQL → horizontal.

Use Cases: SQL for structured data (banking, ERP), NoSQL for flexible and scalable apps (chat apps, social media).

5. Where Firebase Fits

Firebase (Firestore/Realtime DB) is NoSQL.

Stores data in collections & documents.

Developers manage relationships manually:

Embedding (nesting data inside a document).

Referencing (store IDs to connect documents).

6. Practical Example

In SQL: users table & orders table with relations.

In Firebase: users collection & orders collection with userId field.

Show how queries differ (SQL JOIN vs Firestore query).

7. Conclusion

SQL = structured + strong relations.

NoSQL = flexible + scalable.

Firebase is a great NoSQL option for modern apps.

Choose based on project needs.

Description for YouTube

🚀 In this video, we explain the differences between SQL and NoSQL databases and how they handle relationships (one-to-many, many-to-many). You’ll learn:

✅ How SQL databases use tables, primary keys, and foreign keys.
✅ How NoSQL (like Firebase) stores data in collections and documents.
✅ The pros and cons of each database type.
✅ Real-world examples of how relations are represented in SQL vs Firebase.

Perfect for beginners learning databases, Firebase, and MVVM architecture in Flutter apps.

Не удается загрузить Youtube-плеер. Проверьте блокировку Youtube в вашей сети.
Повторяем попытку...
Flutter #26 SQL vs NoSQL Databases Explained | How Relations Work + Firebase Overview

Поделиться в:

Доступные форматы для скачивания:

Скачать видео

  • Информация по загрузке:

Скачать аудио

Похожие видео

© 2025 ycliper. Все права защищены.



  • Контакты
  • О нас
  • Политика конфиденциальности



Контакты для правообладателей: [email protected]