๐ ๐ฒ๐ฑ๐ฎ๐น๐น๐ถ๐ผ๐ป ๐๐ฟ๐ฐ๐ต๐ถ๐๐ฒ๐ฐ๐๐๐ฟ๐ฒ: ๐๐ฟ๐ผ๐บ ๐ฅ๐ฎ๐ ๐๐ฎ๐๐ฎ ๐๐ผ ๐๐๐๐ถ๐ป๐ฒ๐๐ ๐ฉ๐ฎ๐น๐๐ฒ
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 approachโtransforming raw data into a trusted, business-ready asset over time. ๐๐๐๐ก๐ง๐ข๐๐๐ฅ ๐๐๐๐ค๐๐จ๐ง๐: ๐๐๐ฅ๐ญ๐ ๐๐๐ค๐ & ๐๐๐๐ ๐๐ฎ๐๐ซ๐๐ง๐ญ๐๐๐ฌ 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. ๐๐ซ๐๐ก๐ข๐ญ๐๐๐ญ๐ฎ๐ซ๐ ๐๐๐ฒ๐๐ซ๐ฌ Data quality evolves as data moves through three distinct layers: Bronze, Silver, and Gold. ๐ค ๐๐ซ๐จ๐ง๐ณ๐ ๐๐๐ฒ๐๐ซ โ ๐๐ก๐ ๐๐ง๐๐ฅ๐ญ๐๐ซ๐๐ ๐๐จ๐ฎ๐ซ๐๐ ๐จ๐ ๐๐ซ๐ฎ๐ญ๐ก 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 โช ๐๐ข๐ฅ๐ฏ๐๐ซ ๐๐๐ฒ๐๐ซ โ ๐๐๐๐ข๐ง๐๐ฆ๐๐ง๐ญ ๐๐ง๐ ๐๐ง๐ซ๐ข๐๐ก๐ฆ๐๐ง๐ญ 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 ๐ก ๐๐จ๐ฅ๐ ๐๐๐ฒ๐๐ซ โ ๐๐ฎ๐ฌ๐ข๐ง๐๐ฌ๐ฌ-๐๐๐๐๐ฒ ๐๐๐ญ๐ 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