Data Lake allows for flexible storage, but its schema is dynamically inferred during reading, which can lead to data corruption or downstream issues.
Delta Lake, on the other hand, enforces schema consistency throughout the data pipeline, ensuring that all data written to a table matches the table’s predefined schema.
This results in a clean and ready-to-use data set.
