<ul><li>Standard SQL provides fundamental aggregation operations like SUM, COUNT, AVG, MIN, and MAX.</li><li>Aggregation operations are commonly used with grouping operations in SQL and Python.</li><li>SQL and Python showcase consistent styles for simple aggregation, but nuances appear in more complex scenarios.</li><li>SPL offers unconventional aggregate functions like minp and maxp to return records.</li><li>SQL lacks aggregate functions that return records, requiring subqueries and additional steps for complex scenarios.</li><li>SPL's minp and maxp functions simplify retrieving records corresponding to the minimum and maximum values.</li><li>Aggregation operations can also return sets, such as in the top-N problem.</li><li>SPL treats topN as an aggregate operation, simplifying the process compared to SQL.</li><li>Complex aggregation operations in SQL can be cumbersome and require multiple steps.</li><li>SPL allows for continuous multi-step calculations on grouped subsets, making complex operations more manageable.</li></ul>

Unconventional Yet Common Aggregation Operations

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