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A manufacturing company is building an anomaly detection system to identify defective products in its production lines. The datasets include sensor logs from IoT devices stored in Amazon S3 and a list of production metadata from an on-premises SQL database. The company must: Aggregate and preprocess the data from multiple sources. Implement a solution to detect anomalies automatically in the sensor data. Visualize the results for analysis by the operations team. Which solution will meet these requirements most efficiently?