Handle Schema Evolution like your job depends on it
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Schema evolution in data engineering involves handling structural changes to incoming data without breaking existing pipelines. The solution involves maintaining a schema evolution master table for tracking changes, handling all schema evolution at the bronze layer, using target schemas for crucial columns, and locking schemas in silver and gold layers. A practical implementation includes an align_schema function that adds missing columns as nulls, drops extra columns, and logs all schema changes to a Delta table for monitoring and proof of schema modifications.
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Handle Schema Evolution like your job depends on itWhat is Schema Evolution?Use case — A daily life of a Data EngineerTheory of the solutionCode to handle schema evolutionSort: