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List the Armstrong's axioms for functional dependencies. What do you understand by soundness and completeness of these axioms?
Ans: The Armstrong's axioms are:
Soundness: By sound, we mean that a specified set of functional dependencies F specified on a relation schema R, any dependency which we can infer from F by using F1 by F3 holds in each relation state r of R that satisfies the dependencies in F.
Completeness: By complete, we mean that by using F1 through F3 frequently to infer dependencies until no more dependencies can be inferred results in the whole set of all possible dependencies which can be inferred from F.
Breaking into Subsystems Decomposition is a significant technique for coping with complexity based on idea of divide and conquers. In dividing a problem into sub problems, the
external and internal mapping with examples
Sequences Sequences: Automatically produce unique numbers Are sharable Are typically used to make a primary key value Replace application code Speed up t
Replication : It is definite as a copy of a relation. Every replica is stored at a dissimilar site. The alternative to replication is to store only single copy of a relation which
Explain Foreign Key? Foreign Key - Let there are two relations (tables) R and S. Any candidate key of the relation R that is referred within the relation S is known as the fo
What is a value? A data value is used for identity. This form of identity is used in relational systems.eg: The primary key value of a tuple recognize the tuple.
What are aggregate functions? And list the aggregate functions supported by SQL? Aggregate functions are functions that take a collection of values as input and return a one va
It defines that the tuple in one relation that refers to another relation must refer to an existing tuple in that relation. This constraint is states on two relations (not essentia
What it creates while a primary key is combined with a foreign key? It creates Parent-Child relation ship between the tables that connect them while a primary key is combined w
Rules Of Data Normalisation Let us now summarise Normalisation with the help of various clean rules. The following are the necessary rules for the Normalisation process: 1.
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