What is denormalization in database

Denormalization focuses on combining multiple tables to make queries execute quickly. It adds redundancies in the database though.

Denormalized vs normalized data

In this article, we’ll explore Denormalization and how it impacts database design. This method can help us to avoid costly joins in a relational database made during normalization.

What is Denormalization in Databases?

• Denormalization is a database optimization technique in which we add redundant data to one or more tables.

  This can help us avoid costly joins in a relational database. Note that denormalization does not mean ‘reversing normalization’ or ‘not to normalize’. It is an optimization technique that is applied after normalization.

• Basically, The process of taking a normalized schema and making it non-normalized is called denormalization, and designers use it to tune the performance of systems to support time-critical operations.
  In a traditional normalized database, we store data in separate logical tables and attempt to minimize redundant data.

  We may strive to have on

  when is it appropriate to denormalize database design
  when should you denormalize your database design