For most business transactional databases, we should normalize relations into 3NF.
Transactional databases exist optimized for running production systems—everything from websites to banks to retail stores. These databases excel at reading and writing individual rows of data extremely fast while preserving data integrity.
Transactional data generally falls under the category of structured data. Some examples include Financial transactional data: insurance costs and shares data, or a purchase or sale; Deposits or withdrawals in the case of banks. Logistical transactional data: shipping status, shipping partner data. A database transaction exists as a series of operations conducted within a database management system against a database such that, once completed, the data exists left in a reliable and consistent state.
The Third normal form exists a database schema design technique for relational databases which utilizes normalizing principles to reduce the duplication of data, avoid data anomalies, ensure referential integrity, and facilitate data management.
Hence, For most business transactional databases, we should normalize relations into 3NF.
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