Data transformation with BigQuery

Data transformation is a critical step in the data analytics process, where raw data is processed, cleaned, and restructured to better derive insights and support decision-making. This section explores the various features and techniques available in BigQuery for transforming data, enabling you to shape and prepare data for analysis.

BigQuery supports powerful SQL capabilities for data transformation. With its SQL dialect, you can perform a wide range of transformations including filtering, aggregating, joining, and sorting data. SQL expressions, functions, and operators allow for complex calculations and manipulations of data within queries. BigQuery also supports window functions, which enable advanced analytics such as running totals, rankings, and moving averages. Read more about BigQuery window functions, or analytic functions, in the official documentation on window function calls at https://cloud.google.com/bigquery/docs/reference/standard...