Appending mismatched data to a Parquet table involves reading the existing data, concatenating it with the new data, and overwriting the existing Parquet file.
This approach can be expensive and may lead to schema inconsistencies.
With Delta Lake, you can effortlessly append DataFrames with extra columns while ensuring the preservation of your data’s schema.
