SQL Server 2014 supports several analytic functions. With the help of these window analytic functions, we can perform common analyses, such as ranking, percentiles, moving averages, and cumulative sums that can be expressed concisely in a single
Before the advent of analytic functions, the solution for performing complex analytical tasks was to use self joins, correlated subqueries, temporary tables, or some combination of all three. This solution was inefficient and highly resource intensive. Expressing queries with analytic functions simplifies complex tasks by eliminating programming self joins and correlated subqueries. It also uses fewer temporary tables.
In this section, we ...