What is Data Normalization & When Should You Normalize?
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Deshansh Garg on Instagram: ""Normalization is the process of organizing a relational database to minimize data redundancy and improve data integrity." In a production environment, we typically aim for 3rd Normal Form (3NF): 1. 1NF (Atomicity): Each cell contains a single value (no lists). 2. 2NF (No Partial Dependency): All data must depend on the entire Primary Key. 3. 3NF (No Transitive Dependency): Non-key columns should not depend on other non-key columns. (Data depends on "The Key, the who
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Deshansh Garg on Instagram: ""Normalization is the process of organizing a relational database to minimize data redundancy and improve data integrity." In a production environment, we typically aim for 3rd Normal Form (3NF): 1. 1NF (Atomicity): Each cell contains a single value (no lists). 2. 2NF (No Partial Dependency): All data must depend on the entire Primary Key. 3. 3NF (No Transitive Dependency): Non-key columns should not depend on other non-key columns. (Data depends on "The Key, the who
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