How to structure data in firebase?

@aniya.jaskolski 

In Firebase, data is structured in a JSON-like format, which is a nested key-value data model. Here are some best practices for structuring data in Firebase:

1. Flatten data structure: Avoid nesting data too deeply as it can lead to performance issues and make it harder to query and update the data. Instead, try to flatten the data structure by denormalizing it and storing related data together.
2. Use unique identifiers: Each piece of data in Firebase should have a unique identifier, such as a key or ID, to ensure that it can be easily accessed and updated.
3. Separate data concerns: Keep different types of data separate from each other to improve organization and scalability. For example, store user data, product data, and order data in separate nodes.
4. Use Firebase features: Take advantage of Firebase features like Firebase Realtime Database, Firestore, Authentication, and Storage to effectively manage and structure your data.
5. Plan for scalability: Consider how your data structure will scale as your app grows and how it may need to be adjusted in the future. Design your data structure to handle potential future requirements and changes.
6. Leverage indexing: Use Firebase indexing to optimize queries and improve performance when retrieving data from the database.

Overall, the key principles for structuring data in Firebase are to keep it simple, organized, and scalable for efficient data management and retrieval.