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Web27 de jul. de 2024 · The 3 stages of normalization of data in the database are First Normal Form (1NF), Second Normal Form (2NF), and Third Normal Form (3NF). In all the stages, the data is selected by keeping in mind that there should not be any anomaly in the data grouping. These anomalies include data redundancy, spurious relations in the data, and … Thus this brings us to the end of Normalization in SQL article. I hope now you have a clear idea about Normalization concepts. If you wish to learn more about MySQL and get to know this open-source relational database, then check out our MySQL DBA Certification Training which comes with instructor … Ver mais In this Normal Form, we tackle the problem of atomicity. Here atomicity means values in the table should not be further divided. In simple terms, a single cell cannot hold … Ver mais The first condition in the 2nd NF is that the table has to be in 1st NF. The table also should not contain partial dependency. Here partial dependency means the proper subset of candidate key determines a non-prime attribute. … Ver mais This is also known as 3.5 NF. Its the higher version 3NF and was developed by Raymond F. Boyce and Edgar F. Codd to address certain types of anomalies which were not dealt with … Ver mais The same rule applies as before i.e, the table has to be in 2NF before proceeding to 3NF. The other condition is there should be no transitive dependency for non-prime attributes. That means non-prime attributes (which … Ver mais WebNormalization is the process to eliminate data redundancy and enhance data integrity in the table. Normalization also helps to organize the data in the database. It is a multi-step process that sets the data into tabular form and removes the duplicated data from the relational tables. View complete answer on sqlshack.com. the professionals paradise point