Tag: Metadata
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Best practices: metadata enrichment and versioning
Modern data engineering relies on enriched, versioned metadata for governance and observability. This post outlines practical methods for enriching metadata with contextual insights, implementing version control for schema and lineage, and integrating these practices with open-source frameworks like DataHub, OpenMetadata, and Apache Atlas.
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Best practices: schema evolution and metadata tracking
Schema evolution and metadata tracking are essential components of modern data engineering. This article explores best practices, tools, and real-world strategies for managing evolving data schemas, ensuring compatibility, and maintaining robust metadata governance across your data ecosystem.
