Optimize Data Aggregation for Large-scale Datasets

Instruction: Explain how you would optimize a Pandas operation for aggregating a very large DataFrame (e.g., over 100 million rows) by multiple columns. Include considerations for memory management and processing speed.

Context: This question challenges the candidate to demonstrate their knowledge of Pandas' efficiency and scalability, particularly in handling large datasets efficiently without running into memory issues or excessive processing times.