Snowflake: What Are Aggregation Functions in SQL? Aggregation functions are an essential part of SQL, especially when working with large datasets. These functions operate on multiple rows of data and return a single value as the result. In Snowflake, a cloud-based data platform, aggregation functions play a crucial role in summarizing and analyzing data, making it easier for users to extract insights from their datasets. Snowflake Training Snowflake supports a wide range of aggregation functions, commonly used in data analysis and reporting, such as calculating sums, averages, counts, and finding minimum and maximum values. Here's a deeper dive into the key aggregation functions available in Snowflake. Snowflake Online Training Course Key Aggregation Functions in Snowflake 1. SUM() The SUM() function is used to calculate the total sum of values in a numeric column. This is particularly useful when you want to determine the total revenue, expense...
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