To normalize data, we often store it in several tables within a given database. While querying those tables individually can provide answers to numerous questions around that data, more times than not, it leaves us ‘coming up short’ for the complete answer we need.
That poses the question of, how do you extract all this data from several tables that depend on one another to provide data-driven answers?
One tried and true method is to use a JOIN operation.
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