Design a data pipeline that exclusively uses batch processing to aggregate the streaming data at the end of each day, arguing that it reduces costs and simplifies compliance with data privacy regulations.

Implement a data pipeline with real-time processing capabilities, utilizing Azure Stream Analytics to process and analyze the streaming data as it arrives, ensuring timely insights for traffic management.

Use Azure Data Factory to preprocess the streaming data in batches before it enters the data pipeline, claiming it combines the benefits of both batch and real-time processing.

Combine multiple data pipelines with different processing approaches, including both batch and real-time processing, to handle the streaming data, arguing it offers the most flexibility and scalability.