Schema evolution is merely a feature that allows the schema of a dataset to be viewed over time without any impact on data processing.

Schema evolution is essential for streaming data as it dynamically adapts to schema changes, ensuring continuous data processing without manual intervention.

Schema evolution can be manually implemented by stopping the streaming job, updating the schema, and then restarting the job.

Schema evolution is not necessary for streaming data as the schema is fixed at the start of the streaming job and does not change.