๐— ๐—ฒ๐—ฑ๐—ฎ๐—น๐—น๐—ถ๐—ผ๐—ป ๐—”๐—ฟ๐—ฐ๐—ต๐—ถ๐˜๐—ฒ๐—ฐ๐˜๐˜‚๐—ฟ๐—ฒ: ๐—™๐—ฟ๐—ผ๐—บ ๐—ฅ๐—ฎ๐˜„ ๐——๐—ฎ๐˜๐—ฎ ๐˜๐—ผ ๐—•๐˜‚๐˜€๐—ถ๐—ป๐—ฒ๐˜€๐˜€ ๐—ฉ๐—ฎ๐—น๐˜‚๐—ฒ
The Medallion Architecture is a modern data architecture pattern built on Delta Lake, designed to progressively improve data quality. Rather than attempting to make data perfect in a single step, it follows a staged data refinery approachโ€”transforming raw data into a trusted, business-ready asset over time.
๐“๐ž๐œ๐ก๐ง๐ข๐œ๐š๐ฅ ๐๐š๐œ๐ค๐›๐จ๐ง๐ž: ๐ƒ๐ž๐ฅ๐ญ๐š ๐‹๐š๐ค๐ž & ๐€๐‚๐ˆ๐ƒ ๐†๐ฎ๐š๐ซ๐š๐ง๐ญ๐ž๐ž๐ฌ
The reliability of the Medallion Architecture is powered by Delta Lake, which enforces ACID transactions across all layers of the data lifecycle:
  • Atomicity โ€“ Transactions either fully succeed or fully fail
  • Consistency โ€“ Data always complies with defined rules and constraints
  • Isolation โ€“ Concurrent operations do not interfere with each other
  • Durability โ€“ Once committed, data changes are permanent
These guarantees ensure that data remains consistent, reliable, and trustworthy throughout the pipeline.
๐€๐ซ๐œ๐ก๐ข๐ญ๐ž๐œ๐ญ๐ฎ๐ซ๐ž ๐‹๐š๐ฒ๐ž๐ซ๐ฌ
Data quality evolves as data moves through three distinct layers: Bronze, Silver, and Gold.
๐ŸŸค ๐๐ซ๐จ๐ง๐ณ๐ž ๐‹๐š๐ฒ๐ž๐ซ โ€“ ๐“๐ก๐ž ๐”๐ง๐š๐ฅ๐ญ๐ž๐ซ๐ž๐ ๐’๐จ๐ฎ๐ซ๐œ๐ž ๐จ๐Ÿ ๐“๐ซ๐ฎ๐ญ๐ก
This is the ingestion layer where data is stored exactly as received from source systems.
  • Authenticity โ€“ Original data is preserved without transformation
  • Traceability โ€“ Acts as a reliable source of truth for auditing and reprocessing
  • Structure โ€“ Stored in raw or semi-structured format
โšช ๐’๐ข๐ฅ๐ฏ๐ž๐ซ ๐‹๐š๐ฒ๐ž๐ซ โ€“ ๐‘๐ž๐Ÿ๐ข๐ง๐ž๐ฆ๐ž๐ง๐ญ ๐š๐ง๐ ๐„๐ง๐ซ๐ข๐œ๐ก๐ฆ๐ž๐ง๐ญ
The Silver layer focuses on data quality improvements and standardization.
  • Cleaning โ€“ Removal of invalid or corrupted records
  • Standardization โ€“ Consistent schemas, data types, and date formats
  • Deduplication โ€“ Elimination of duplicates and test data
  • Integration โ€“ Harmonization of data from multiple source systems
๐ŸŸก ๐†๐จ๐ฅ๐ ๐‹๐š๐ฒ๐ž๐ซ โ€“ ๐๐ฎ๐ฌ๐ข๐ง๐ž๐ฌ๐ฌ-๐‘๐ž๐š๐๐ฒ ๐ƒ๐š๐ญ๐š
The Gold layer contains highly curated, consumption-ready datasets, optimized for business use cases.
  • Primary Use Cases โ€“ Dashboards, reporting, strategic analytics, and data science
  • Business Focus โ€“ Data is modeled around KPIs, metrics, and domain concepts
At this stage, data becomes a direct enabler of decision-making rather than a technical artifact.
๐๐ข๐  ๐๐ข๐œ๐ญ๐ฎ๐ซ๐ž
The Medallion Architecture provides a controlled, scalable, and reliable path from raw data to actionable insights. By improving data quality incrementally, it creates a solid foundation for analytics, BI, and AI-driven solutions
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Ege Cagatay Turker
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๐— ๐—ฒ๐—ฑ๐—ฎ๐—น๐—น๐—ถ๐—ผ๐—ป ๐—”๐—ฟ๐—ฐ๐—ต๐—ถ๐˜๐—ฒ๐—ฐ๐˜๐˜‚๐—ฟ๐—ฒ: ๐—™๐—ฟ๐—ผ๐—บ ๐—ฅ๐—ฎ๐˜„ ๐——๐—ฎ๐˜๐—ฎ ๐˜๐—ผ ๐—•๐˜‚๐˜€๐—ถ๐—ป๐—ฒ๐˜€๐˜€ ๐—ฉ๐—ฎ๐—น๐˜‚๐—ฒ
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