As a Microsoft Fabric Analytics Engineer Associate, you are tasked with analyzing a dataset of energy consumption patterns in a smart city to support urban planning and energy management. The dataset includes variables such as time of consumption, location, and weather conditions. You need to identify trends, seasonal patterns, and anomalies to recommend actionable insights. Considering the need for scalability, cost-effectiveness, and compliance with data privacy regulations, which of the following approaches would be the BEST to start your exploratory analytics? Choose one option.