3rd normal form helps reduce redundant data, avoid data anomalies and ensure referential integrity.
Yes.
First normal form (1NF) sets the very basic rules for an organized database: * Eliminate duplicative columns from the same table. * Create separate tables for each group of related data and identify each row with a unique column or set of columns (the primary key). Second normal form (2NF) further addresses the concept of removing duplicative data: * Meet all the requirements of the first normal form. * Remove subsets of data that apply to multiple rows of a table and place them in separate tables. * Create relationships between these new tables and their predecessors through the use of foreign keys. Third normal form (3NF) goes one large step further: * Meet all the requirements of the second normal form. * Remove columns that are not dependent upon the primary key. Finally, fourth normal form (4NF) has one additional requirement: * Meet all the requirements of the third normal form. * A relation is in 4NF if it has no multi-valued dependencies. Remember, these normalization guidelines are cumulative. For a database to be in 2NF, it must first fulfill all the criteria of a 1NF database.
A primary key is one or more colums in a table whose values would uniquely identify a row in that table. A foreign key is a one or more columns in one table that are used to reference rows in another table. In a properly designed 3NF schema, the foreign key columns should correspond to the primary key columns of the table being referenced.
Yes.
Boyce-codd normal form(BCNF) was proposed as a simpler form of 3NF,but it was found to be stricter than 3NF,because every relation in BCNF is also in 3NF.However a relation in 3NF is not necessarily in BCNF.
3NF is where data depends on nothing but the whole key. It seems that every 3NF table should be in BCNF, as BCNF is stricter than 3NF. But, BCNF requires that every nontrivial attribute is a superkey, even if the dependent attributes are part of keys, that is, when X->Y, X is a superkey for the relation, where 3NF also allows that Y is a key attribute for the relation.
A relation R is in 3NF if and only if every dependency A->B satisfied by R meets at least ONE of the following criteria: 1. A->B is trivial (i.e. B is a subset of A) 2. A is a superkey 3. B is a subset of a candidate key BCNF doesn't permit the third of these options. Therefore BCNF is said to be stronger than 3NF because 3NF permits some dependencies which BCNF does not.
Overlapping Key is a type of candidate key which occurs in BCNF (Boyce –Codd Normal Form).In the difference between 3NF and BCNF Example : A 3NF table which does not have multiple overlapping candidate keys is guaranteed to be in BCNF. Depending on what its functional dependencies are, a 3NF table with two or more overlapping candidate keys may or may not be in BCNF.
3rd normal form can remove transitive dependencies. for example, group city and group supervisor are depending on a non.key field group number.
Yes, third normal form (3NF) eliminates transitive dependencies by requiring that all non-prime attributes in a table must be determined by the primary key. This helps in reducing data redundancy and improving data integrity.
Define normalization explain the conditions under which a relation need to be normalized to 2nf and 3nf with the help of an example ?
A relation violates third normal form (3NF) if it has a transitive dependency where a non-prime attribute depends on another non-prime attribute (which itself is not a candidate key). This means that a non-prime attribute is functionally dependent on another non-prime attribute rather than on a candidate key.
Sure! 1NF (First Normal Form): Each column in a table should hold atomic values (values that cannot be divided further), and each row should be unique. 2NF (Second Normal Form): Every non-key attribute must be fully functionally dependent on the entire primary key, meaning no partial dependencies are allowed. 3NF (Third Normal Form): In addition to 2NF rules, no transitive dependencies should exist, meaning that non-key attributes should not depend on other non-key attributes.
Both 3NF and BCNF are normal forms that are used in relational databases to minimize redundancies in tables. In a table that is in the BCNF normal form, for every non-trivial functional dependency of the form A → B, A is a super-key whereas, a table that complies with 3NF should be in the 2NF, and every non-prime attribute should directly depend on every candidate key of that table. BCNF is considered as a stronger normal form than the 3NF and it was developed to capture some of the anomalies that could not be captured by 3NF. Obtaining a table that complies with the BCNF form will require decomposing a table that is in the 3NF. This decomposition will result in additional join operations (or Cartesian products) when executing queries. This will increase the computational time. On the other hand, the tables that comply with BCNF would have fewer redundancies than tables that only comply with 3NF. Furthermore, most of the time, it is possible to obtain a table that comply with 3NF without hindering dependency preservation and lossless joining. But this is not always possible with BCNF.
It is boyce-codd normal form IN NORMALIZATION WHICH SHOULD BE IN 3NF and EVERY DETERMINAT IS A CANDIDATE KEY .