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4 weeks agoScala
Spark Scala Exercise 24: Error Handling and Logging in SparkBuild Safe, Auditable ETL Pipelines
Build a defensive Spark ETL pipeline to ensure robust data processing.
Handle data issues like schema mismatches and corrupt records effectively.
Implement custom logging and audit trails for better failure management.