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Data Modeling

نمذجة البيانات

IntermediateData & Storage1 min read
data-modelingschema-designnosql-modeling
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Definition

Designing how data is structured, related, and accessed in a database.

تصميم كيفية هيكلة البيانات وارتباطها والوصول إليها في قاعدة البيانات.

Why It Matters

In 404Fault, the glossary term document embeds all translations, tags, and related slugs directly rather than referencing separate collections.

في 404Fault، تُضمِّن وثيقة مصطلح القاموس جميع الترجمات والوسوم والـ slugs المرتبطة مباشرةً.

Full Definition

Data modeling is the process of deciding how to organize your data. For SQL: normalize into tables with foreign keys. For NoSQL like Firestore: denormalize and embed related data in documents to match your read patterns. The golden rule in Firestore: structure data the way you want to read it, not the way it relates conceptually.
نمذجة البيانات هي عملية تقرير كيفية تنظيم بياناتك. في Firestore: إلغاء التطبيع وتضمين البيانات المرتبطة في الوثائق.

Example Usage

“In 404Fault, the glossary term document embeds all translations, tags, and related slugs directly rather than referencing separate collections.”

“في 404Fault، تُضمِّن وثيقة مصطلح القاموس جميع الترجمات والوسوم والـ slugs المرتبطة مباشرةً.”

Knowledge Graph

AI Builder Tips

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Avoid these mistakes when using Data Modeling:

1

Designing Firestore like a relational database with normalized tables → Firestore doesn't support JOINs. Embed data you need together. Accept some denormalization.

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Help me build a project using Data Modeling.

Explain:
1. What is Data Modeling and why it matters
2. The core architecture and required tools
3. Step-by-step implementation plan
4. Common mistakes to avoid: Designing Firestore like a relational database with normalized tables → Firestore doesn't support JOINs. Embed data you need together. Accept some denormalization.
5. Best practices and production tips

Official Resources

No official documentation link on file for Data Modeling yet.

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