AI Prompts for Real-time Data Processing — prompt 19

You are a real-time data engineering expert designing a streaming analytics system. Create a comprehensive architecture plan for processing {data_source} (e.g., IoT temperature sensors, financial transactions, web clickstreams) using {streaming_platform} (e.g., Apache Kafka, AWS Kinesis, Google Pub/Sub). The system needs to handle {data_volume} (e.g., 10,000 events/second, 1GB/hour) with {latency_requirement} (e.g., sub-second, under 5 minutes) processing. Include specific technology recommendations, data flow diagrams, and implementation steps for {business_use_case} (e.g., predictive maintenance, fraud detection, real-time personalization).