Using expressions and aggregations

In BigQuery, expressions and aggregations play a crucial role in performing calculations and summarizing data during querying. They allow you to transform and manipulate data to derive meaningful insights from your datasets. Let’s explore how expressions and aggregations are used in BigQuery.

Expressions

In BigQuery, expressions are used to perform calculations, create derived columns, and apply transformations to table data. You can use various operators, functions, and literals within expressions to manipulate values. Let’s look at some key aspects of using expressions in BigQuery.

BigQuery supports a wide range of operators, including arithmetic operators (+, -, *, /), comparison operators (=, <, >), logical operators (AND, OR, NOT), and string concatenation operators (||). These operators allow you to perform mathematical operations, compare values, and combine conditions.

BigQuery provides an extension library...