could you pls help me with this data science question? thx!

You are working in a multi-national agency which aims to improve marketing campaign results for its customers. Your team received a large data set (assume 2000 columns and 500 million rows) from one customer. However, the agency's current data processing capacity is not sufficient to train machine learning models on the entire data set. As a data scientist or machine learning engineer, what steps can you take to analyze the data and produce statistical insights from it