Phân tích Xu hướng Dữ liệu với Hàm Cửa sổ trong SQL

Data analysis plays a crucial role in extracting meaningful insights from vast amounts of data, and SQL, with its powerful querying capabilities, provides a robust toolkit for this purpose. Among its many features, window functions stand out as invaluable assets for uncovering hidden patterns and trends by performing calculations on related rows without grouping the data.

Window functions in SQL offer a powerful and efficient way to perform advanced data analysis tasks. Their ability to calculate aggregates over a specific window of rows, without collapsing the result set, opens up a wide range of analytical possibilities. By understanding the different types of window functions, their syntax, and use cases, data analysts can leverage these functions to gain deeper insights from their data and make more informed decisions.