Should I normalize my data before storing it in MongoDB?

Should I normalize my data before storing in MongoDB?

Should I normalize my data before storing it in MongoDB? No. Schema design is very important when using MongoDB, but very different from schema design for relational databases.

When should you not normalize data?

For machine learning, every dataset does not require normalization. It is required only when features have different ranges. For example, consider a data set containing two features, age, and income(x2). Where age ranges from 0–100, while income ranges from 0–100,000 and higher.

Is it necessary to normalize data?

This improves the accuracy and integrity of your data while ensuring that your database is easier to navigate. Put simply, data normalization ensures that your data looks, reads, and can be utilized the same way across all of the records in your customer database.

Is normalization used for storing data logically?

Normalization is used when designing a database. Database normalization is mainly used to: Eliminate reduntant data. Ensure data is logically stored (results in a more flexible data model).