A technology company collects a mix of batch data from various databases and real-time streaming data from application APIs and network sensors. The business needs to centralize all this data into a single location for future analytics. The data must be processed and then stored in separate Amazon S3 buckets, organized for different business teams. Later, analysts will run one-time queries and visualize key performance indicators (KPIs) using a business intelligence tool. The company wants a solution with minimal operational overhead and strong compatibility with AWS-native analytics tools. Which combination of steps best fulfills these requirements?