Using the Transact-SQL analytic window functions
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 SELECT
statement.
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 ...
Get SQL Server 2014 Development Essentials now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.