Apply Pre-Commit Validation for Data Quality in Apache Hudi™
Blog post from Onehouse
Ensuring data quality is crucial for organizations to maintain accurate, consistent, complete, and reliable data, which is essential for trustworthy analysis and decision-making. Apache Hudi, a data lakehouse technology initially developed at Uber, offers a feature called pre-commit validation to enhance data quality by validating data before it is committed to storage. This feature allows users to enforce data quality checks such as uniqueness constraints, schema compliance, and adherence to business rules during the data writing process, using tools like DeltaStreamer or Spark Datasource writers. Users can configure these validators through the `hoodie.precommit.validators` setting, choosing from built-in validators or creating custom ones to meet specific needs. Apache Hudi also provides a SQL-based pre-commit validator to check specific data conditions, and users can extend the SparkPreCommitValidator class to define custom validation logic. By leveraging these pre-commit validators, organizations can ensure data integrity and accuracy, thereby enhancing the reliability of their data-driven applications and analytics processes.
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