The most silent yet fatal accident in data pipelines is schema change. Yesterday user_id was an integer; today someone sends it as a string. New fields appear or existing ones vanish. Without controlling these changes, downstream Jobs break one by one, and worse, they quietly produce wrong data. Today we tackle both risks with two tools — Glue Schema Registry (managing schema change) and Glue Data Quality (validating data itself).
AWS Glue Schema Registry is a service that centrally registers, versions, and validates schemas for streaming data (Kinesis, MSK/Kafka, Managed Flink)