Data aggregation techniques include Extract, Transform, Load (ETL), data warehousing, roll-up, drill-down, slice and dice, and attribute aggregation techniques. Others include pivoting, data fusion, and various statistical methods like averaging, counting, and finding min/max values. These techniques help in summarizing, analyzing, and interpreting complex data sets.