What is a data schema and why enforce it on ingestion?
This tests your grasp of data governance. Define a schema as a data blueprint. Explain that enforcement on ingestion prevents "garbage in, garbage out" by validating types and formats, ensuring data is usable for analytics.
This tests your grasp of data governance and how it prevents downstream analytics failures. A strong answer defines a schema as a formal contract for data structure, then explains that enforcing it on ingestion ensures type safety and consistency, preventing corrupted data from polluting the pipeline. A common red flag is describing schemas only in the context of a single relational database, ignoring their role in broader data pipelines.
Read the original → Wikipedia: Database schema
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