Example Concept: Use BigQuery's SQL capabilities to perform time series analysis by first aggregating sales data by time intervals (e.g., monthly or quarterly). Apply statistical functions such as ARIMA (AutoRegressive Integrated Moving Average) to model and forecast future sales trends. Utilize BigQuery ML for more advanced machine learning models to refine predictions based on historical patterns.