feat: Flink SQL anomaly detection tutorial

[davetroiano]

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[Copilot]

Pull Request Overview

This PR introduces a new tutorial that demonstrates how to detect anomalies in Kafka data streams using Flink SQL on Confluent Cloud. The tutorial leverages the built-in ML_DETECT_ANOMALIES function to identify outliers using ARIMA models.

Key changes:

• Adds comprehensive tutorial with step-by-step instructions for anomaly detection using Flink SQL
• Demonstrates two approaches: global outlier detection and per-customer anomaly detection using window partitioning
• Includes examples of hyperparameter configuration and query results

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