MJTelco, a startup with innovative optical communications hardware patents, aims to build networks in underserved markets globally. They require a distributed data infrastructure for real-time analysis and machine learning to optimize their network topologies. With their management and operations teams distributed worldwide, they've chosen public cloud to meet their needs. They're scaling a proof-of-concept (PoC) to support over 50,000 installations and refining machine-learning models. They operate in development/test, staging, and production environments. Their requirements include scaling production cost-effectively, securing proprietary data, ensuring reliable data access for distributed research, and maintaining isolated environments for rapid machine-learning iteration. They need to perform aggregations over petabyte-scale datasets and scan specific time ranges with millisecond response times. Which Google Cloud Platform products combination do you recommend?