Utilize the 'distinct' function to filter out duplicate records, as it is the simplest method to implement.

Apply the 'groupBy' function combined with a window operation to aggregate and remove duplicates within a specific time frame, ensuring data is processed in batches.

Implement the 'groupBy' function with a watermark to manage late data and deduplicate records, providing a balance between latency and resource usage.

Use the 'mapWithState' function to maintain a state for each unique key, updating it with the latest record and effectively removing duplicates, which is optimal for handling high-volume streams with late-arriving data.