spark-daria

Adds methods like `.isFalse` to Spark's Column class, enabling more expressive code that aligns with Scala conventions, as shown in the README example comparing to native Spark syntax.

Provides functions such as `removeAllWhitespace()` and datetime helpers (e.g., `beginningOfWeek`), simplifying common tasks without complex regex or manual calculations.

Includes transformations like `snakeCaseColumns()` that integrate with Spark's `DataFrame.transform()` method, promoting code reuse and maintainability in data pipelines.

Validators throw clear error messages for missing columns or schema mismatches, improving debugging efficiency, as demonstrated with `validatePresenceOfColumns`.