A manufacturing company ingests millions of JSON telemetry messages per second from IoT sensors across its factories. The data science team needs to run interactive SQL queries and Spark-based machine learning on years of historical telemetry while keeping storage costs low. The raw data is semi-structured, rarely updated after ingestion, and must support hierarchical folder organization for efficient partition pruning. Which storage solution should you recommend for the analytical data lake?