You are deploying a machine learning model using Amazon Fraud Detector to detect and mitigate fraudulent transaction activities. You plan to integrate Amazon S3 for data storage and logging, and Amazon CloudWatch for monitoring model performance. How should you set up data ingestion and integration to ensure scalability, performance, and near-real-time fraud detection accuracy?