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

James is an employee in the widget inspection department of xyz systems, a government contractor. james was part of a 3-person inspection team that found a particular batch of widgets did not meet the exacting requirements of the u.s. government. in order to meet the tight deadline and avoid penalties under the contract, james' boss demanded that the batch of widgets be sent in fulfillment of the government contract. when james found out, he went to the vice president of the company and reported the situation. james was demoted by his boss, and no longer works on government projects. james has a: