In Google Cloud BigQuery, during operations such as JOIN, GROUP BY, ORDER BY, and large aggregations, data is redistributed across multiple workers based on a key. This process is called a shuffle operation. When one key contains 90% of the total data, it creates a problem called data skew, where one worker receives most of the data while other workers remain underutilized. This causes slower query execution and performance bottlenecks.